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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
    <meta charset="UTF-8">
    <title></title>
    <style type="text/css">
        /* Hide data table */
.csvdata {
    display: none;
}

body {
    font-family: helvetica;
}

.text-warning {
    font-weight: bold;
    color: red;
}
/*Primary Chart*/

/*Nested divs for responsiveness*/
.chart-wrapper {
    max-width: 800px;  /*Overwritten by the JS*/
    min-width: 160px;
    margin-bottom: 20px;
    font-family: helvetica;
}
.chart-wrapper .inner-wrapper {
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    width: 100%;
}
.chart-wrapper .outer-box {
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    top: 0;
    bottom: 0;
    left: 0;
    right: 0;
}
.chart-wrapper .inner-box {
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    height: 100%;
}

.chart-wrapper text {
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  font-size: 13px;
}

.chart-wrapper .axis path,
.chart-wrapper .axis line {
    fill: none;
    stroke: #888;
    stroke-width: 2px;
    shape-rendering: crispEdges;
}

.chart-wrapper .y.axis .tick line {
    stroke: lightgrey;
    opacity: 0.6;
    stroke-dasharray: 2,1;
    stroke-width: 1;
    shape-rendering: crispEdges;

}

.chart-wrapper .x.axis .domain {
  display: none;
}

.chart-wrapper div.tooltip {
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    text-align: left;
    padding: 3px;
    font-size: 12px;
    background: #eee;
    border: 0px;
    border-radius: 1px;
    pointer-events: none;
    opacity: .7;
    z-index: 10;
}

/*Box Plot*/
.chart-wrapper .box-plot .box {
    fill-opacity: .5;
    stroke-width: 2;
}
.chart-wrapper .box-plot line {
    stroke-width: 2px;
}
.chart-wrapper .box-plot circle {
    fill: white;
    stroke: black;
}

.chart-wrapper .box-plot .median {
    stroke: black;
}

.chart-wrapper .box-plot circle.median {
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}

.chart-wrapper .box-plot .mean {
    stroke: white;
    stroke-dasharray: 2,1;
    stroke-width: 1px;
}

@media (max-width:500px){
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}

/*Violin Plot*/

.chart-wrapper .violin-plot .area {
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    opacity: 0.4;
}

.chart-wrapper .violin-plot .line {
    fill: none;
    stroke-width: 2px;
    shape-rendering: geometricPrecision;
}

/*Notch Plot*/
.chart-wrapper .notch-plot .notch {
    fill-opacity: 0.4;
    stroke-width: 2;
}

/* Point Plots*/
.chart-wrapper .points-plot .point {
    /*stroke: black;
    stroke-width: 1px;*/
    fill-opacity: 0.4;
}

.chart-wrapper .metrics-lines {
    stroke-width: 4px;
}

/* Non-Chart Styles for demo*/
.chart-options  {
    min-width: 200px;
    font-size: 13px;
    font-family: helvetica;
}
.chart-options button {
    margin: 3px;
    padding: 3px;
    font-size: 12px;
}
.chart-options p {
    display: inline;
}
@media (max-width:500px){
    .chart-options p {display: block;}
}
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    <script type="text/javascript">
        /**
 * @fileOverview A D3 based distribution chart system. Supports: Box plots, Violin plots, Notched box plots, trend lines, beeswarm plot
 * @version 3.0
 */


/**
 * Creates a box plot, violin plot, and or notched box plot
 * @param settings Configuration options for the base plot
 * @param settings.data The data for the plot
 * @param settings.xName The name of the column that should be used for the x groups
 * @param settings.yName The name of the column used for the y values
 * @param {string} settings.selector The selector string for the main chart div
 * @param [settings.axisLabels={}] Defaults to the xName and yName
 * @param [settings.yTicks = 1] 1 = default ticks. 2 =  double, 0.5 = half
 * @param [settings.scale='linear'] 'linear' or 'log' - y scale of the chart
 * @param [settings.chartSize={width:800, height:400}] The height and width of the chart itself (doesn't include the container)
 * @param [settings.margin={top: 15, right: 60, bottom: 40, left: 50}] The margins around the chart (inside the main div)
 * @param [settings.constrainExtremes=false] Should the y scale include outliers?
 * @returns {object} chart A chart object
 */
function makeDistroChart(settings) {

    var chart = {};

    // Defaults
    chart.settings = {
        data: null,
        xName: null,
        yName: null,
        axisLabels: {xAxis: null, yAxis: null},
        labelName: "label",
        unitsName: "units",
        selector: null,
        axisLables: null,
        yTicks: 1,
        scale: 'linear',
        chartSize: {width: 800, height: 400},
        margin: {top: 15, right: 10, bottom: 50, left: 50},
        constrainExtremes: false,
        color: d3.scale.category10(),
        modality: null
    };

    for (var setting in settings) {
        chart.settings[setting] = settings[setting]
    }

    function formatAsFloat(d) {
        if (d % 1 !== 0) {
            return d3.format(".2f")(d);
        } else {
            return d3.format(".0f")(d);
        }
    }

    function logFormatNumber(d) {
        var x = Math.log(d) / Math.log(10) + 1e-6;
        return Math.abs(x - Math.floor(x)) < 0.6 ? formatAsFloat(d) : "";
    }

    chart.yFormatter = formatAsFloat;

    chart.data = chart.settings.data;

    iqmName = chart.data[0][chart.settings.xName]
    if (iqmName.indexOf('_') > 0) {
        iqmName = iqmName.substr(0, iqmName.indexOf('_'))
    }
    chart.settings.axisLabels.yAxis = iqmName.toUpperCase()
    if (iqmName.toLowerCase().startsWith('fd') || iqmName.toLowerCase().startsWith('spikes')) {
        chart.settings.constrainExtremes = true
    }

    units = chart.data[0][chart.settings.unitsName]
    if (units) {
        chart.settings.axisLabels.yAxis += ' (' + units + ')'
    }


    chart.groupObjs = {}; //The data organized by grouping and sorted as well as any metadata for the groups
    chart.objs = {mainDiv: null, chartDiv: null, g: null, xAxis: null, yAxis: null};
    chart.colorFunct = null;

    /**
     * Takes an array, function, or object mapping and created a color function from it
     * @param {function|[]|object} colorOptions
     * @returns {function} Function to be used to determine chart colors
     */
    function getColorFunct(colorOptions) {
        if (typeof colorOptions == 'function') {
            return colorOptions
        } else if (Array.isArray(colorOptions)) {
            //  If an array is provided, map it to the domain
            var colorMap = {}, cColor = 0;
            for (var cName in chart.groupObjs) {
                colorMap[cName] = colorOptions[cColor];
                cColor = (cColor + 1) % colorOptions.length;
            }
            return function (group) {
                return colorMap[group];
            }
        } else if (typeof colorOptions == 'object') {
            // if an object is provided, assume it maps to  the colors
            return function (group) {
                return colorOptions[group];
            }
        } else {
            return d3.scale.category10();
        }
    }

    /**
     * Takes a percentage as returns the values that correspond to that percentage of the group range width
     * @param objWidth Percentage of range band
     * @param gName The bin name to use to get the x shift
     * @returns {{left: null, right: null, middle: null}}
     */
    function getObjWidth(objWidth, gName) {
        var objSize = {left: null, right: null, middle: null};
        var width = chart.xScale.rangeBand() * (objWidth / 100);
        var padding = (chart.xScale.rangeBand() - width) / 2;
        var gShift = chart.xScale(gName);
        objSize.middle = chart.xScale.rangeBand() / 2 + gShift;
        objSize.left = padding + gShift;
        objSize.right = objSize.left + width;
        return objSize;
    }

    /**
     * Adds jitter to the  scatter point plot
     * @param doJitter true or false, add jitter to the point
     * @param width percent of the range band to cover with the jitter
     * @returns {number}
     */
    function addJitter(doJitter, width) {
        if (doJitter !== true || width == 0) {
            return 0
        }
        return Math.floor(Math.random() * width) - width / 2;
    }

    function shallowCopy(oldObj) {
        var newObj = {};
        for (var i in oldObj) {
            if (oldObj.hasOwnProperty(i)) {
                newObj[i] = oldObj[i];
            }
        }
        return newObj;
    }

    /**
     * Closure that creates the tooltip hover function
     * @param groupName Name of the x group
     * @param metrics Object to use to get values for the group
     * @returns {Function} A function that provides the values for the tooltip
     */
    function tooltipHover(groupName, metrics) {
        var tooltipString = "Group: " + groupName;
        tooltipString += "<br\>Max: " + formatAsFloat(metrics.max, 0.1);
        tooltipString += "<br\>Q3: " + formatAsFloat(metrics.quartile3);
        tooltipString += "<br\>Median: " + formatAsFloat(metrics.median);
        tooltipString += "<br\>Q1: " + formatAsFloat(metrics.quartile1);
        tooltipString += "<br\>Min: " + formatAsFloat(metrics.min);
        return function () {
            chart.objs.tooltip.transition().duration(200).style("opacity", 0.9);
            chart.objs.tooltip.html(tooltipString)
        };
    }

    function axislabelHover(groupName) {
        var tooltipString = "Go to definition of " + groupName;
        return function () {
            chart.objs.tooltip.transition().duration(200).style("opacity", 1.0);
            chart.objs.tooltip.html(tooltipString)
        };
    }

    /**
     * Closure that creates the tooltip hover function
     * @param groupName Name of the x group
     * @param metrics Object to use to get values for the group
     * @returns {Function} A function that provides the values for the tooltip
     */
    function pointHover(label, value) {
        var tooltipString = "Subject: " + label + "<br\>Measure: " + value
        return function () {
            chart.objs.tooltip.transition().duration(200).style("opacity", 1.0);
            chart.objs.tooltip.html(tooltipString)
        };
    }

    /**
     * Parse the data and calculates base values for the plots
     */
    !function prepareData() {
        function calcMetrics(values) {
            // Do not reorder in-place
            values = values.slice(0).sort(d3.ascending)

            var metrics = { //These are the original non�scaled values
                max: null,
                upperOuterFence: null,
                upperInnerFence: null,
                quartile3: null,
                median: null,
                mean: null,
                iqr: null,
                quartile1: null,
                lowerInnerFence: null,
                lowerOuterFence: null,
                min: null
            };

            metrics.min = d3.min(values);
            metrics.quartile1 = d3.quantile(values, 0.25);
            metrics.median = d3.median(values);
            metrics.mean = d3.mean(values);
            metrics.quartile3 = d3.quantile(values, 0.75);
            metrics.max = d3.max(values);
            metrics.iqr = metrics.quartile3 - metrics.quartile1;

            //The inner fences are the closest value to the IQR without going past it (assumes sorted lists)
            var LIF = metrics.quartile1 - (1.5 * metrics.iqr);
            var UIF = metrics.quartile3 + (1.5 * metrics.iqr);
            for (var i = 0; i <= values.length; i++) {
                if (values[i] < LIF) {
                    continue;
                }
                if (!metrics.lowerInnerFence && values[i] >= LIF) {
                    metrics.lowerInnerFence = values[i];
                    continue;
                }
                if (values[i] > UIF) {
                    metrics.upperInnerFence = values[i - 1];
                    break;
                }
            }


            metrics.lowerOuterFence = metrics.quartile1 - (3 * metrics.iqr);
            metrics.upperOuterFence = metrics.quartile3 + (3 * metrics.iqr);
            if (!metrics.lowerInnerFence) {
                metrics.lowerInnerFence = metrics.min;
            }
            if (!metrics.upperInnerFence) {
                metrics.upperInnerFence = metrics.max;
            }
            return metrics
        }

        var current_x = null;
        var current_y = null;
        var current_row;

        // Group the values
        for (current_row = 0; current_row < chart.data.length; current_row++) {
            current_x = chart.data[current_row][chart.settings.xName];
            current_y = chart.data[current_row][chart.settings.yName];
            current_label = chart.data[current_row][chart.settings.labelName];

            if (chart.groupObjs.hasOwnProperty(current_x)) {
                chart.groupObjs[current_x].values.push(current_y);
                chart.groupObjs[current_x].labels.push(current_label);
            } else {
                chart.groupObjs[current_x] = {};
                chart.groupObjs[current_x].values = [current_y];
                chart.groupObjs[current_x].labels = [current_label];
            }
        }

        for (var cName in chart.groupObjs) {
            // chart.groupObjs[cName].values.sort(d3.ascending);
            chart.groupObjs[cName].metrics = {};
            chart.groupObjs[cName].metrics = calcMetrics(chart.groupObjs[cName].values);

        }
    }();

    /**
     * Prepare the chart settings and chart div and svg
     */
    !function prepareSettings() {
        //Set base settings
        chart.margin = chart.settings.margin;
        chart.divWidth = chart.settings.chartSize.width;
        chart.divHeight = chart.settings.chartSize.height;
        chart.width = chart.divWidth - chart.margin.left - chart.margin.right;
        chart.height = chart.divHeight - chart.margin.top - chart.margin.bottom;

        if (chart.settings.axisLabels) {
            chart.xAxisLable = chart.settings.axisLabels.xAxis;
            chart.yAxisLable = chart.settings.axisLabels.yAxis;
        }

        if (chart.settings.scale === 'log') {
            chart.yScale = d3.scale.log();
            chart.yFormatter = logFormatNumber;
        } else {
            chart.yScale = d3.scale.linear();
        }

        if (chart.settings.constrainExtremes === true) {
            var fences = [];
            for (var cName in chart.groupObjs) {
                fences.push(chart.groupObjs[cName].metrics.lowerInnerFence);
                fences.push(chart.groupObjs[cName].metrics.upperInnerFence);
            }
            chart.range = d3.extent(fences);

        } else {
            chart.range = d3.extent(chart.data, function (d) {return d[chart.settings.yName];});
        }

        chart.colorFunct = getColorFunct(chart.settings.colors);

        // Build Scale functions
        chart.yScale.range([chart.height, 0]).domain(chart.range).nice().clamp(true);
        chart.xScale = d3.scale.ordinal().domain(Object.keys(chart.groupObjs)).rangeBands([0, chart.width]);

        //Build Axes Functions
        chart.objs.yAxis = d3.svg.axis()
            .scale(chart.yScale)
            .orient("left")
            .tickFormat(chart.yFormatter)
            .outerTickSize(0)
            .innerTickSize(-chart.width + (chart.margin.right + chart.margin.left));
        chart.objs.yAxis.ticks(chart.objs.yAxis.ticks()*chart.settings.yTicks);
        chart.objs.xAxis = d3.svg.axis().scale(chart.xScale).orient("bottom").tickSize(5);
    }();

    /**
     * Updates the chart based on the current settings and window size
     * @returns {*}
     */
    chart.update = function () {
        // Update chart size based on view port size
        chart.width = parseInt(chart.objs.chartDiv.style("width"), 10) - (chart.margin.left + chart.margin.right);
        chart.height = parseInt(chart.objs.chartDiv.style("height"), 10) - (chart.margin.top + chart.margin.bottom);

        // Update scale functions
        chart.xScale.rangeBands([0, chart.width]);
        chart.yScale.range([chart.height, 0]);

        // Update the yDomain if the Violin plot clamp is set to -1 meaning it will extend the violins to make nice points
        if (chart.violinPlots && chart.violinPlots.options.show == true && chart.violinPlots.options._yDomainVP != null) {
            chart.yScale.domain(chart.violinPlots.options._yDomainVP).nice().clamp(true);
        } else {
            chart.yScale.domain(chart.range).nice().clamp(true);
        }

        //Update axes
        chart.objs.g.select('.x.axis').attr("transform", "translate(0," + chart.height + ")").call(chart.objs.xAxis)
            .selectAll("text")
            .attr("y", 5)
            .attr("x", -5)
            .attr("transform", "rotate(-45)")
            .style("text-anchor", "end");
        chart.objs.g.select('.x.axis .label').attr("x", chart.width / 2);
        chart.objs.g.select('.y.axis').call(chart.objs.yAxis.innerTickSize(-chart.width));
        chart.objs.g.select('.y.axis .label').attr("x", -chart.height / 2);
        chart.objs.chartDiv.select('svg').attr("width", chart.width + (chart.margin.left + chart.margin.right)).attr("height", chart.height + (chart.margin.top + chart.margin.bottom));

        return chart;
    };

    /**
     * Prepare the chart html elements
     */
    !function prepareChart() {
        // Build main div and chart div
        chart.objs.mainDiv = d3.select(chart.settings.selector)
            .style("width", chart.divWidth + "px")
            .style("display", "inline-block");
        // Add all the divs to make it centered and responsive
        chart.objs.mainDiv.append("div")
            .attr("class", "inner-wrapper")
            .style("padding-bottom", (chart.divHeight / chart.divWidth) * 100 + "%")
            .append("div").attr("class", "outer-box")
            .append("div").attr("class", "inner-box");
        // Capture the inner div for the chart (where the chart actually is)
        chart.selector = chart.settings.selector + " .inner-box";
        chart.objs.chartDiv = d3.select(chart.selector);
        d3.select(window).on('resize.' + chart.selector, chart.update);

        // Create the svg
        chart.objs.g = chart.objs.chartDiv.append("svg")
            .attr("class", "chart-area")
            .attr("width", chart.width + (chart.margin.left + chart.margin.right))
            .attr("height", chart.height + (chart.margin.top + chart.margin.bottom))
            .append("g")
            .attr("transform", "translate(" + chart.margin.left + "," + chart.margin.top + ")");

        // Create axes
        chart.objs.axes = chart.objs.g.append("g").attr("class", "axis");
        chart.objs.axes.append("g")
            .attr("class", "x axis")
            .attr("transform", "translate(0," + chart.height + ")")
            .call(chart.objs.xAxis);
        chart.objs.axes.append("g")
            .attr("class", "y axis")
            .call(chart.objs.yAxis)
            .append("text")
            //.attr("class", "label")
            .attr("transform", "rotate(-90)")
            //.attr("y", -42)
            .attr("y", 6)
            .attr("dy", ".71em")
            //.attr("x", -chart.height / 2)
            .style("text-anchor", "end")
            .style("font-size", "16px")
            .append("a")
            .attr("xlink:href", function(d) {
                label = chart.yAxisLable.toLowerCase()
                charidx = label.indexOf(' ')
                if (charidx > 1) { label = label.substr(0, charidx); }
                charidx = label.indexOf('_')
                if (charidx > 1) { label = label.substr(0, charidx); }

                return "http://mriqc.readthedocs.io/en/latest/iqms/" + chart.settings.modality.toLowerCase() + ".html#iqms-" + label
            })
            .text(chart.yAxisLable)
            .on("mouseover", function () {
                chart.objs.tooltip
                    .style("display", null)
                    .style("left", (d3.event.pageX) + "px")
                    .style("top", (d3.event.pageY - 28) + "px");
            }).on("mouseout", function () {
                chart.objs.tooltip.style("display", "none");
            }).on("mousemove", axislabelHover(chart.yAxisLable));

        // Create tooltip div
        chart.objs.tooltip = chart.objs.mainDiv.append('div').attr('class', 'tooltip');
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].g = chart.objs.g.append("g").attr("class", "group");
        }
        chart.update();
    }();

    /**
     * Render a violin plot on the current chart
     * @param options
     * @param [options.showViolinPlot=true] True or False, show the violin plot
     * @param [options.resolution=100 default]
     * @param [options.bandwidth=10 default] May need higher bandwidth for larger data sets
     * @param [options.width=50] The max percent of the group rangeBand that the violin can be
     * @param [options.interpolation=''] How to render the violin
     * @param [options.clamp=0 default]
     *   0 = keep data within chart min and max, clamp once data = 0. May extend beyond data set min and max
     *   1 = clamp at min and max of data set. Possibly no tails
     *  -1 = extend chart axis to make room for data to interpolate to 0. May extend axis and data set min and max
     * @param [options.colors=chart default] The color mapping for the violin plot
     * @returns {*} The chart object
     */
    chart.renderViolinPlot = function (options) {
        chart.violinPlots = {};

        var defaultOptions = {
            show: true,
            showViolinPlot: true,
            resolution: 100,
            bandwidth: 20,
            width: 50,
            interpolation: 'cardinal',
            clamp: 1,
            colors: chart.colorFunct,
            _yDomainVP: null // If the Violin plot is set to close all violin plots, it may need to extend the domain, that extended domain is stored here
        };
        chart.violinPlots.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.violinPlots.options[option] = options[option]
        }
        var vOpts = chart.violinPlots.options;

        // Create violin plot objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].violin = {};
            chart.groupObjs[cName].violin.objs = {};
        }

        /**
         * Take a new set of options and redraw the violin
         * @param updateOptions
         */
        chart.violinPlots.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    vOpts[key] = updateOptions[key]
                }
            }

            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].violin.objs.g.remove()
            }

            chart.violinPlots.prepareViolin();
            chart.violinPlots.update();
        };

        chart.violinPlots.reset = function () {
            chart.violinPlots.change(defaultOptions)
        };
        chart.violinPlots.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.violinPlots.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.violinPlots.change(opts);

        };

        chart.violinPlots.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.violinPlots.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.violinPlots.change(opts);

        };

        /**
         * Update the violin obj values
         */
        chart.violinPlots.update = function () {
            var cName, cViolinPlot;

            for (cName in chart.groupObjs) {
                cViolinPlot = chart.groupObjs[cName].violin;

                // Build the violins sideways, so use the yScale for the xScale and make a new yScale
                var xVScale = chart.yScale.copy();


                // Create the Kernel Density Estimator Function
                cViolinPlot.kde = kernelDensityEstimator(eKernel(vOpts.bandwidth), xVScale.ticks(vOpts.resolution));
                cViolinPlot.kdedata = cViolinPlot.kde(chart.groupObjs[cName].values);

                var interpolateMax = chart.groupObjs[cName].metrics.max,
                    interpolateMin = chart.groupObjs[cName].metrics.min;

                if (vOpts.clamp == 0 || vOpts.clamp == -1) { //
                    // When clamp is 0, calculate the min and max that is needed to bring the violin plot to a point
                    // interpolateMax = the Minimum value greater than the max where y = 0
                    interpolateMax = d3.min(cViolinPlot.kdedata.filter(function (d) {
                        return (d.x > chart.groupObjs[cName].metrics.max && d.y == 0)
                    }), function (d) {
                        return d.x;
                    });
                    // interpolateMin = the Maximum value less than the min where y = 0
                    interpolateMin = d3.max(cViolinPlot.kdedata.filter(function (d) {
                        return (d.x < chart.groupObjs[cName].metrics.min && d.y == 0)
                    }), function (d) {
                        return d.x;
                    });
                    // If clamp is -1 we need to extend the axes so that the violins come to a point
                    if (vOpts.clamp == -1) {
                        kdeTester = eKernelTest(eKernel(vOpts.bandwidth), chart.groupObjs[cName].values);
                        if (!interpolateMax) {
                            var interMaxY = kdeTester(chart.groupObjs[cName].metrics.max);
                            var interMaxX = chart.groupObjs[cName].metrics.max;
                            var count = 25; // Arbitrary limit to make sure we don't get an infinite loop
                            while (count > 0 && interMaxY != 0) {
                                interMaxY = kdeTester(interMaxX);
                                interMaxX += 1;
                                count -= 1;
                            }
                            interpolateMax = interMaxX;
                        }
                        if (!interpolateMin) {
                            var interMinY = kdeTester(chart.groupObjs[cName].metrics.min);
                            var interMinX = chart.groupObjs[cName].metrics.min;
                            var count = 25;  // Arbitrary limit to make sure we don't get an infinite loop
                            while (count > 0 && interMinY != 0) {
                                interMinY = kdeTester(interMinX);
                                interMinX -= 1;
                                count -= 1;
                            }
                            interpolateMin = interMinX;
                        }

                    }
                    // Check to see if the new values are outside the existing chart range
                    //   If they are assign them to the master _yDomainVP
                    if (!vOpts._yDomainVP) vOpts._yDomainVP = chart.range.slice(0);
                    if (interpolateMin && interpolateMin < vOpts._yDomainVP[0]) {
                        vOpts._yDomainVP[0] = interpolateMin;
                    }
                    if (interpolateMax && interpolateMax > vOpts._yDomainVP[1]) {
                        vOpts._yDomainVP[1] = interpolateMax;
                    }


                }


                if (vOpts.showViolinPlot) {
                    chart.update();
                    xVScale = chart.yScale.copy();

                    // Need to recalculate the KDE because the xVScale changed
                    cViolinPlot.kde = kernelDensityEstimator(eKernel(vOpts.bandwidth), xVScale.ticks(vOpts.resolution));
                    cViolinPlot.kdedata = cViolinPlot.kde(chart.groupObjs[cName].values);
                }

                cViolinPlot.kdedata = cViolinPlot.kdedata
                    .filter(function (d) {
                        return (!interpolateMin || d.x >= interpolateMin)
                    })
                    .filter(function (d) {
                        return (!interpolateMax || d.x <= interpolateMax)
                    });
            }
            for (cName in chart.groupObjs) {
                cViolinPlot = chart.groupObjs[cName].violin;

                // Get the violin width
                var objBounds = getObjWidth(vOpts.width, cName);
                var width = (objBounds.right - objBounds.left) / 2;

                var yVScale = d3.scale.linear()
                    .range([width, 0])
                    .domain([0, d3.max(cViolinPlot.kdedata, function (d) {return d.y;})])
                    .clamp(true);

                var area = d3.svg.area()
                    .interpolate(vOpts.interpolation)
                    .x(function (d) {return xVScale(d.x);})
                    .y0(width)
                    .y1(function (d) {return yVScale(d.y);});

                var line = d3.svg.line()
                    .interpolate(vOpts.interpolation)
                    .x(function (d) {return xVScale(d.x);})
                    .y(function (d) {return yVScale(d.y)});

                if (cViolinPlot.objs.left.area) {
                    cViolinPlot.objs.left.area
                        .datum(cViolinPlot.kdedata)
                        .attr("d", area);
                    cViolinPlot.objs.left.line
                        .datum(cViolinPlot.kdedata)
                        .attr("d", line);

                    cViolinPlot.objs.right.area
                        .datum(cViolinPlot.kdedata)
                        .attr("d", area);
                    cViolinPlot.objs.right.line
                        .datum(cViolinPlot.kdedata)
                        .attr("d", line);
                }

                // Rotate the violins
                cViolinPlot.objs.left.g.attr("transform", "rotate(90,0,0)   translate(0,-" + objBounds.left + ")  scale(1,-1)");
                cViolinPlot.objs.right.g.attr("transform", "rotate(90,0,0)  translate(0,-" + objBounds.right + ")");
            }
        };

        /**
         * Create the svg elements for the violin plot
         */
        chart.violinPlots.prepareViolin = function () {
            var cName, cViolinPlot;

            if (vOpts.colors) {
                chart.violinPlots.color = getColorFunct(vOpts.colors);
            } else {
                chart.violinPlots.color = chart.colorFunct
            }

            if (vOpts.show == false) {return}

            for (cName in chart.groupObjs) {
                cViolinPlot = chart.groupObjs[cName].violin;

                cViolinPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "violin-plot");
                cViolinPlot.objs.left = {area: null, line: null, g: null};
                cViolinPlot.objs.right = {area: null, line: null, g: null};

                cViolinPlot.objs.left.g = cViolinPlot.objs.g.append("g");
                cViolinPlot.objs.right.g = cViolinPlot.objs.g.append("g");

                if (vOpts.showViolinPlot !== false) {
                    //Area
                    cViolinPlot.objs.left.area = cViolinPlot.objs.left.g.append("path")
                        .attr("class", "area")
                        .style("fill", chart.violinPlots.color(cName));
                    cViolinPlot.objs.right.area = cViolinPlot.objs.right.g.append("path")
                        .attr("class", "area")
                        .style("fill", chart.violinPlots.color(cName));

                    //Lines
                    cViolinPlot.objs.left.line = cViolinPlot.objs.left.g.append("path")
                        .attr("class", "line")
                        .attr("fill", 'none')
                        .style("stroke", chart.violinPlots.color(cName));
                    cViolinPlot.objs.right.line = cViolinPlot.objs.right.g.append("path")
                        .attr("class", "line")
                        .attr("fill", 'none')
                        .style("stroke", chart.violinPlots.color(cName));
                }

            }

        };


        function kernelDensityEstimator(kernel, x) {
            return function (sample) {
                return x.map(function (x) {
                    return {x:x, y:d3.mean(sample, function (v) {return kernel(x - v);})};
                });
            };
        }

        function eKernel(scale) {
            return function (u) {
                return Math.abs(u /= scale) <= 1 ? .75 * (1 - u * u) / scale : 0;
            };
        }

        // Used to find the roots for adjusting violin axis
        // Given an array, find the value for a single point, even if it is not in the domain
        function eKernelTest(kernel, array) {
            return function (testX) {
                return d3.mean(array, function (v) {return kernel(testX - v);})
            }
        }

        chart.violinPlots.prepareViolin();

        d3.select(window).on('resize.' + chart.selector + '.violinPlot', chart.violinPlots.update);
        chart.violinPlots.update();
        return chart;
    };

    /**
     * Render a box plot on the current chart
     * @param options
     * @param [options.show=true] Toggle the whole plot on and off
     * @param [options.showBox=true] Show the box part of the box plot
     * @param [options.showWhiskers=true] Show the whiskers
     * @param [options.showMedian=true] Show the median line
     * @param [options.showMean=false] Show the mean line
     * @param [options.medianCSize=3] The size of the circle on the median
     * @param [options.showOutliers=true] Plot outliers
     * @param [options.boxwidth=30] The max percent of the group rangeBand that the box can be
     * @param [options.lineWidth=boxWidth] The max percent of the group rangeBand that the line can be
     * @param [options.outlierScatter=false] Spread out the outliers so they don't all overlap (in development)
     * @param [options.outlierCSize=2] Size of the outliers
     * @param [options.colors=chart default] The color mapping for the box plot
     * @returns {*} The chart object
     */
    chart.renderBoxPlot = function (options) {
        chart.boxPlots = {};

        // Defaults
        var defaultOptions = {
            show: true,
            showBox: true,
            showWhiskers: true,
            showMedian: true,
            showMean: false,
            medianCSize: 3.5,
            showOutliers: true,
            boxWidth: 30,
            lineWidth: null,
            scatterOutliers: false,
            outlierCSize: 2.5,
            colors: chart.colorFunct,
            padding: 0
        };
        chart.boxPlots.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.boxPlots.options[option] = options[option]
        }
        var bOpts = chart.boxPlots.options;

        //Create box plot objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].boxPlot = {};
            chart.groupObjs[cName].boxPlot.objs = {};
        }


        /**
         * Calculates all the outlier points for each group
         */
        !function calcAllOutliers() {

            /**
             * Create lists of the outliers for each content group
             * @param cGroup The object to modify
             * @return null Modifies the object in place
             */
            function calcOutliers(cGroup) {
                var cExtremes = [];
                var cOutliers = [];
                var cOut, idx;
                for (idx = 0; idx <= cGroup.values.length; idx++) {
                    cOut = {value: cGroup.values[idx]};

                    if (cOut.value < cGroup.metrics.lowerInnerFence) {
                        if (cOut.value < cGroup.metrics.lowerOuterFence) {
                            cExtremes.push(cOut);
                        } else {
                            cOutliers.push(cOut);
                        }
                    } else if (cOut.value > cGroup.metrics.upperInnerFence) {
                        if (cOut.value > cGroup.metrics.upperOuterFence) {
                            cExtremes.push(cOut);
                        } else {
                            cOutliers.push(cOut);
                        }
                    }
                }
                cGroup.boxPlot.objs.outliers = cOutliers;
                cGroup.boxPlot.objs.extremes = cExtremes;
            }

            for (var cName in chart.groupObjs) {
                calcOutliers(chart.groupObjs[cName]);
            }
        }();

        /**
         * Take updated options and redraw the box plot
         * @param updateOptions
         */
        chart.boxPlots.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    bOpts[key] = updateOptions[key]
                }
            }

            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].boxPlot.objs.g.remove()
            }
            chart.boxPlots.prepareBoxPlot();
            chart.boxPlots.update()
        };

        chart.boxPlots.reset = function () {
            chart.boxPlots.change(defaultOptions)
        };
        chart.boxPlots.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.boxPlots.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.boxPlots.change(opts)

        };
        chart.boxPlots.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.boxPlots.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.boxPlots.change(opts)
        };

        /**
         * Update the box plot obj values
         */
        chart.boxPlots.update = function () {
            var cName, cBoxPlot;

            for (cName in chart.groupObjs) {
                cBoxPlot = chart.groupObjs[cName].boxPlot;

                // Get the box width
                var objBounds = getObjWidth(bOpts.boxWidth, cName);
                objBounds.middle += chart.boxPlots.options.padding
                objBounds.right += chart.boxPlots.options.padding
                objBounds.left += chart.boxPlots.options.padding
                var width = (objBounds.right - objBounds.left);

                var sMetrics = {}; //temp var for scaled (plottable) metric values
                for (var attr in chart.groupObjs[cName].metrics) {
                    sMetrics[attr] = null;
                    sMetrics[attr] = chart.yScale(chart.groupObjs[cName].metrics[attr]);
                }

                // Box
                if (cBoxPlot.objs.box) {
                    cBoxPlot.objs.box
                        .attr("x", objBounds.left)
                        .attr('width', width)
                        .attr("y", sMetrics.quartile3)
                        .attr("rx", 1)
                        .attr("ry", 1)
                        .attr("height", -sMetrics.quartile3 + sMetrics.quartile1)
                }

                // Lines
                var lineBounds = null;
                if (bOpts.lineWidth) {
                    lineBounds = getObjWidth(bOpts.lineWidth, cName)
                } else {
                    lineBounds = objBounds
                }

                // Apply padding
                lineBounds.middle += chart.boxPlots.options.padding
                lineBounds.right += chart.boxPlots.options.padding
                lineBounds.left += chart.boxPlots.options.padding

                // --Whiskers
                if (cBoxPlot.objs.upperWhisker) {
                    cBoxPlot.objs.upperWhisker.fence
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.upperInnerFence)
                        .attr("y2", sMetrics.upperInnerFence);
                    cBoxPlot.objs.upperWhisker.line
                        .attr("x1", lineBounds.middle)
                        .attr("x2", lineBounds.middle)
                        .attr('y1', sMetrics.quartile3)
                        .attr("y2", sMetrics.upperInnerFence);

                    cBoxPlot.objs.lowerWhisker.fence
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.lowerInnerFence)
                        .attr("y2", sMetrics.lowerInnerFence);
                    cBoxPlot.objs.lowerWhisker.line
                        .attr("x1", lineBounds.middle)
                        .attr("x2", lineBounds.middle)
                        .attr('y1', sMetrics.quartile1)
                        .attr("y2", sMetrics.lowerInnerFence);
                }

                // --Median
                if (cBoxPlot.objs.median) {
                    cBoxPlot.objs.median.line
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.median)
                        .attr("y2", sMetrics.median);
                    cBoxPlot.objs.median.circle
                        .attr("cx", lineBounds.middle)
                        .attr("cy", sMetrics.median)
                }

                // --Mean
                if (cBoxPlot.objs.mean) {
                    cBoxPlot.objs.mean.line
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.mean)
                        .attr("y2", sMetrics.mean);
                    cBoxPlot.objs.mean.circle
                        .attr("cx", lineBounds.middle)
                        .attr("cy", sMetrics.mean);
                }

                // Outliers

                var pt;
                if (cBoxPlot.objs.outliers) {
                    for (pt in cBoxPlot.objs.outliers) {
                        cBoxPlot.objs.outliers[pt].point
                            .attr("cx", objBounds.middle + addJitter(bOpts.scatterOutliers, width))
                            .attr("cy", chart.yScale(cBoxPlot.objs.outliers[pt].value));
                    }
                }
                if (cBoxPlot.objs.extremes) {
                    for (pt in cBoxPlot.objs.extremes) {
                        cBoxPlot.objs.extremes[pt].point
                            .attr("cx", objBounds.middle + addJitter(bOpts.scatterOutliers, width))
                            .attr("cy", chart.yScale(cBoxPlot.objs.extremes[pt].value));
                    }
                }
            }
        };

        /**
         * Create the svg elements for the box plot
         */
        chart.boxPlots.prepareBoxPlot = function () {
            var cName, cBoxPlot;

            if (bOpts.colors) {
                chart.boxPlots.colorFunct = getColorFunct(bOpts.colors);
            } else {
                chart.boxPlots.colorFunct = chart.colorFunct
            }

            if (bOpts.show == false) {
                return
            }

            for (cName in chart.groupObjs) {
                cBoxPlot = chart.groupObjs[cName].boxPlot;

                cBoxPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "box-plot");

                //Plot Box (default show)
                if (bOpts.showBox) {
                    cBoxPlot.objs.box = cBoxPlot.objs.g.append("rect")
                        .attr("class", "box")
                        .style("fill", chart.boxPlots.colorFunct(cName))
                        .style("stroke", chart.boxPlots.colorFunct(cName))
                        .on("mouseover", function () {
                            chart.objs.tooltip
                                .style("display", null)
                                .style("left", (d3.event.pageX) + "px")
                                .style("top", (d3.event.pageY - 28) + "px");
                        }).on("mouseout", function () {
                            chart.objs.tooltip.style("display", "none");
                        }).on("mousemove", tooltipHover(cName, chart.groupObjs[cName].metrics));
                    //A stroke is added to the box with the group color, it is
                    // hidden by default and can be shown through css with stroke-width
                }

                //Plot Median (default show)
                if (bOpts.showMedian) {
                    cBoxPlot.objs.median = {line: null, circle: null};
                    cBoxPlot.objs.median.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "median");
                    cBoxPlot.objs.median.circle = cBoxPlot.objs.g.append("circle")
                        .attr("class", "median")
                        .attr('r', bOpts.medianCSize)
                        .style("fill", chart.boxPlots.colorFunct(cName));
                }

                // Plot Mean (default no plot)
                if (bOpts.showMean) {
                    cBoxPlot.objs.mean = {line: null, circle: null};
                    cBoxPlot.objs.mean.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "mean");
                    cBoxPlot.objs.mean.circle = cBoxPlot.objs.g.append("circle")
                        .attr("class", "mean")
                        .attr('r', bOpts.medianCSize)
                        .style("fill", chart.boxPlots.colorFunct(cName));
                }

                // Plot Whiskers (default show)
                if (bOpts.showWhiskers) {
                    cBoxPlot.objs.upperWhisker = {fence: null, line: null};
                    cBoxPlot.objs.lowerWhisker = {fence: null, line: null};
                    cBoxPlot.objs.upperWhisker.fence = cBoxPlot.objs.g.append("line")
                        .attr("class", "upper whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));
                    cBoxPlot.objs.upperWhisker.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "upper whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));

                    cBoxPlot.objs.lowerWhisker.fence = cBoxPlot.objs.g.append("line")
                        .attr("class", "lower whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));
                    cBoxPlot.objs.lowerWhisker.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "lower whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));
                }

                // Plot outliers (default show)
                if (bOpts.showOutliers) {
                    if (!cBoxPlot.objs.outliers) calcAllOutliers();
                    var pt;
                    if (cBoxPlot.objs.outliers.length) {
                        var outDiv = cBoxPlot.objs.g.append("g").attr("class", "boxplot outliers");
                        for (pt in cBoxPlot.objs.outliers) {
                            cBoxPlot.objs.outliers[pt].point = outDiv.append("circle")
                                .attr("class", "outlier")
                                .attr('r', bOpts.outlierCSize)
                                .style("fill", chart.boxPlots.colorFunct(cName));
                        }
                    }

                    if (cBoxPlot.objs.extremes.length) {
                        var extDiv = cBoxPlot.objs.g.append("g").attr("class", "boxplot extremes");
                        for (pt in cBoxPlot.objs.extremes) {
                            cBoxPlot.objs.extremes[pt].point = extDiv.append("circle")
                                .attr("class", "extreme")
                                .attr('r', bOpts.outlierCSize)
                                .style("stroke", chart.boxPlots.colorFunct(cName));
                        }
                    }
                }


            }
        };
        chart.boxPlots.prepareBoxPlot();

        d3.select(window).on('resize.' + chart.selector + '.boxPlot', chart.boxPlots.update);
        chart.boxPlots.update();
        return chart;

    };

    /**
     * Render a notched box on the current chart
     * @param options
     * @param [options.show=true] Toggle the whole plot on and off
     * @param [options.showNotchBox=true] Show the notch box
     * @param [options.showLines=false] Show lines at the confidence intervals
     * @param [options.boxWidth=35] The width of the widest part of the box
     * @param [options.medianWidth=20] The width of the narrowist part of the box
     * @param [options.lineWidth=50] The width of the confidence interval lines
     * @param [options.notchStyle=null] null=traditional style, 'box' cuts out the whole notch in right angles
     * @param [options.colors=chart default] The color mapping for the notch boxes
     * @returns {*} The chart object
     */
    chart.renderNotchBoxes = function (options) {
        chart.notchBoxes = {};

        //Defaults
        var defaultOptions = {
            show: true,
            showNotchBox: true,
            showLines: false,
            boxWidth: 35,
            medianWidth: 20,
            lineWidth: 50,
            notchStyle: null,
            colors: null
        };
        chart.notchBoxes.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.notchBoxes.options[option] = options[option]
        }
        var nOpts = chart.notchBoxes.options;

        //Create notch objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].notchBox = {};
            chart.groupObjs[cName].notchBox.objs = {};
        }

        /**
         * Makes the svg path string for a notched box
         * @param cNotch Current notch box object
         * @param notchBounds objBound object
         * @returns {string} A string in the proper format for a svg polygon
         */
        function makeNotchBox(cNotch, notchBounds) {
            var scaledValues = [];
            if (nOpts.notchStyle == 'box') {
                scaledValues = [
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile1)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile1)]
                ];
            } else {
                scaledValues = [
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile1)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile1)]
                ];
            }
            return scaledValues.map(function (d) {
                return [d[0], d[1]].join(",");
            }).join(" ");
        }

        /**
         * Calculate the confidence intervals
         */
        !function calcNotches() {
            var cNotch, modifier;
            for (var cName in chart.groupObjs) {
                cNotch = chart.groupObjs[cName];
                modifier = (1.57 * (cNotch.metrics.iqr / Math.sqrt(cNotch.values.length)));
                cNotch.metrics.upperNotch = cNotch.metrics.median + modifier;
                cNotch.metrics.lowerNotch = cNotch.metrics.median - modifier;
            }
        }();

        /**
         * Take a new set of options and redraw the notch boxes
         * @param updateOptions
         */
        chart.notchBoxes.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    nOpts[key] = updateOptions[key]
                }
            }

            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].notchBox.objs.g.remove()
            }
            chart.notchBoxes.prepareNotchBoxes();
            chart.notchBoxes.update();
        };

        chart.notchBoxes.reset = function () {
            chart.notchBoxes.change(defaultOptions)
        };
        chart.notchBoxes.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.notchBoxes.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.notchBoxes.change(opts)
        };
        chart.notchBoxes.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.notchBoxes.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.notchBoxes.change(opts)
        };

        /**
         * Update the notch box obj values
         */
        chart.notchBoxes.update = function () {
            var cName, cGroup;

            for (cName in chart.groupObjs) {
                cGroup = chart.groupObjs[cName];

                // Get the box size
                var boxBounds = getObjWidth(nOpts.boxWidth, cName);
                var medianBounds = getObjWidth(nOpts.medianWidth, cName);

                var notchBounds = {
                    boxLeft: boxBounds.left,
                    boxRight: boxBounds.right,
                    middle: boxBounds.middle,
                    medianLeft: medianBounds.left,
                    medianRight: medianBounds.right
                };

                // Notch Box
                if (cGroup.notchBox.objs.notch) {
                    cGroup.notchBox.objs.notch
                        .attr("points", makeNotchBox(cGroup, notchBounds));
                }
                if (cGroup.notchBox.objs.upperLine) {
                    var lineBounds = null;
                    if (nOpts.lineWidth) {
                        lineBounds = getObjWidth(nOpts.lineWidth, cName)
                    } else {
                        lineBounds = objBounds
                    }

                    var confidenceLines = {
                        upper: chart.yScale(cGroup.metrics.upperNotch),
                        lower: chart.yScale(cGroup.metrics.lowerNotch)
                    };
                    cGroup.notchBox.objs.upperLine
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', confidenceLines.upper)
                        .attr("y2", confidenceLines.upper);
                    cGroup.notchBox.objs.lowerLine
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', confidenceLines.lower)
                        .attr("y2", confidenceLines.lower);
                }
            }
        };

        /**
         * Create the svg elements for the notch boxes
         */
        chart.notchBoxes.prepareNotchBoxes = function () {
            var cName, cNotch;

            if (nOpts && nOpts.colors) {
                chart.notchBoxes.colorFunct = getColorFunct(nOpts.colors);
            } else {
                chart.notchBoxes.colorFunct = chart.colorFunct
            }

            if (nOpts.show == false) {
                return
            }

            for (cName in chart.groupObjs) {
                cNotch = chart.groupObjs[cName].notchBox;

                cNotch.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "notch-plot");

                // Plot Box (default show)
                if (nOpts.showNotchBox) {
                    cNotch.objs.notch = cNotch.objs.g.append("polygon")
                        .attr("class", "notch")
                        .style("fill", chart.notchBoxes.colorFunct(cName))
                        .style("stroke", chart.notchBoxes.colorFunct(cName));
                    //A stroke is added to the notch with the group color, it is
                    // hidden by default and can be shown through css with stroke-width
                }

                //Plot Confidence Lines (default hide)
                if (nOpts.showLines) {
                    cNotch.objs.upperLine = cNotch.objs.g.append("line")
                        .attr("class", "upper confidence line")
                        .style("stroke", chart.notchBoxes.colorFunct(cName));

                    cNotch.objs.lowerLine = cNotch.objs.g.append("line")
                        .attr("class", "lower confidence line")
                        .style("stroke", chart.notchBoxes.colorFunct(cName));
                }
            }
        };
        chart.notchBoxes.prepareNotchBoxes();

        d3.select(window).on('resize.' + chart.selector + '.notchBox', chart.notchBoxes.update);
        chart.notchBoxes.update();
        return chart;
    };

    /**
     * Render a raw data in various forms
     * @param options
     * @param [options.show=true] Toggle the whole plot on and off
     * @param [options.showPlot=false] True or false, show points
     * @param [options.plotType='none'] Options: no scatter = (false or 'none'); scatter points= (true or [amount=% of width (default=10)]); beeswarm points = ('beeswarm')
     * @param [options.pointSize=6] Diameter of the circle in pizels (not the radius)
     * @param [options.showLines=['median']] Can equal any of the metrics lines
     * @param [options.showbeanLines=false] Options: no lines = false
     * @param [options.beanWidth=20] % width
     * @param [options.colors=chart default]
     * @returns {*} The chart object
     *
     */
    chart.renderDataPlots = function (options) {
        chart.dataPlots = {};


        //Defaults
        var defaultOptions = {
            show: true,
            showPlot: false,
            plotType: 'none',
            pointSize: 6,
            showLines: false,//['median'],
            showBeanLines: false,
            beanWidth: 20,
            colors: null,
            padding: 0
        };
        chart.dataPlots.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.dataPlots.options[option] = options[option]
        }
        var dOpts = chart.dataPlots.options;

        //Create notch objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].dataPlots = {};
            chart.groupObjs[cName].dataPlots.objs = {};
        }
        // The lines don't fit into a group bucket so they live under the dataPlot object
        chart.dataPlots.objs = {};

        /**
         * Take updated options and redraw the data plots
         * @param updateOptions
         */
        chart.dataPlots.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    dOpts[key] = updateOptions[key]
                }
            }

            chart.dataPlots.objs.g.remove();
            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].dataPlots.objs.g.remove()
            }
            chart.dataPlots.preparePlots();
            chart.dataPlots.update()
        };

        chart.dataPlots.reset = function () {
            chart.dataPlots.change(defaultOptions)
        };
        chart.dataPlots.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.dataPlots.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.dataPlots.change(opts)
        };
        chart.dataPlots.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.dataPlots.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.dataPlots.change(opts)
        };

        /**
         * Update the data plot obj values
         */
        chart.dataPlots.update = function () {
            var cName, cGroup, cPlot;

            // Metrics lines
            if (chart.dataPlots.objs.g) {
                var halfBand = chart.xScale.rangeBand() / 2; // find the middle of each band
                for (var cMetric in chart.dataPlots.objs.lines) {
                    chart.dataPlots.objs.lines[cMetric].line
                        .x(function (d) {
                            return chart.xScale(d.x) + halfBand
                        });
                    chart.dataPlots.objs.lines[cMetric].g
                        .datum(chart.dataPlots.objs.lines[cMetric].values)
                        .attr('d', chart.dataPlots.objs.lines[cMetric].line);
                }
            }


            for (cName in chart.groupObjs) {
                cGroup = chart.groupObjs[cName];
                cPlot = cGroup.dataPlots;

                if (cPlot.objs.points) {
                    if (dOpts.plotType == 'beeswarm') {
                        var swarmBounds = getObjWidth(100, cName);
                        var yPtScale = chart.yScale.copy()
                            .range([Math.floor(chart.yScale.range()[0] / dOpts.pointSize), 0])
                            .interpolate(d3.interpolateRound)
                            .domain(chart.yScale.domain());
                        var maxWidth = Math.floor(chart.xScale.rangeBand() / dOpts.pointSize);
                        var ptsObj = {};
                        var cYBucket = null;
                        //  Bucket points
                        for (var pt = 0; pt < cGroup.values.length; pt++) {
                            cYBucket = yPtScale(cGroup.values[pt]);
                            if (ptsObj.hasOwnProperty(cYBucket) !== true) {
                                ptsObj[cYBucket] = [];
                            }
                            ptsObj[cYBucket].push(cPlot.objs.points.pts[pt]
                                .attr("cx", swarmBounds.middle)
                                .attr("cy", yPtScale(cGroup.values[pt]) * dOpts.pointSize));
                        }
                        //  Plot buckets
                        var rightMax = Math.min(swarmBounds.right - dOpts.pointSize);
                        for (var row in ptsObj) {
                            var leftMin = swarmBounds.left + (Math.max((maxWidth - ptsObj[row].length) / 2, 0) * dOpts.pointSize);
                            var col = 0;
                            for (pt in ptsObj[row]) {
                                ptsObj[row][pt].attr("cx", Math.min(leftMin + col * dOpts.pointSize, rightMax) + dOpts.pointSize / 2);
                                col++
                            }
                        }
                    } else { // For scatter points and points with no scatter
                        var plotBounds = null,
                            scatterWidth = 0,
                            width = 0;
                        if (dOpts.plotType == 'scatter' || typeof dOpts.plotType == 'number') {
                            //Default scatter percentage is 20% of box width
                            scatterWidth = typeof dOpts.plotType == 'number' ? dOpts.plotType : 20;
                        }

                        plotBounds = getObjWidth(scatterWidth, cName);
                        plotBounds.middle += chart.dataPlots.options.padding
                        plotBounds.right += chart.dataPlots.options.padding
                        plotBounds.left += chart.dataPlots.options.padding
                        width = plotBounds.right - plotBounds.left;

                        for (var pt = 0; pt < cGroup.values.length; pt++) {
                            cPlot.objs.points.pts[pt]
                                .attr("cx", plotBounds.middle + addJitter(true, width))
                                .attr("cy", chart.yScale(cGroup.values[pt]));
                        }
                    }
                }


                if (cPlot.objs.bean) {
                    var beanBounds = getObjWidth(dOpts.beanWidth, cName);
                    for (var pt = 0; pt < cGroup.values.length; pt++) {
                        cPlot.objs.bean.lines[pt]
                            .attr("x1", beanBounds.left)
                            .attr("x2", beanBounds.right)
                            .attr('y1', chart.yScale(cGroup.values[pt]))
                            .attr("y2", chart.yScale(cGroup.values[pt]));
                    }
                }
            }
        };

        /**
         * Create the svg elements for the data plots
         */
        chart.dataPlots.preparePlots = function () {
            var cName, cPlot;

            if (dOpts && dOpts.colors) {
                chart.dataPlots.colorFunct = getColorFunct(dOpts.colors);
            } else {
                chart.dataPlots.colorFunct = chart.colorFunct
            }

            if (dOpts.show == false) {
                return
            }

            // Metrics lines
            chart.dataPlots.objs.g = chart.objs.g.append("g").attr("class", "metrics-lines");
            if (dOpts.showLines && dOpts.showLines.length > 0) {
                chart.dataPlots.objs.lines = {};
                var cMetric;
                for (var line in dOpts.showLines) {
                    cMetric = dOpts.showLines[line];
                    chart.dataPlots.objs.lines[cMetric] = {};
                    chart.dataPlots.objs.lines[cMetric].values = [];
                    for (var cGroup in chart.groupObjs) {
                        chart.dataPlots.objs.lines[cMetric].values.push({
                            x: cGroup,
                            y: chart.groupObjs[cGroup].metrics[cMetric]
                        })
                    }
                    chart.dataPlots.objs.lines[cMetric].line = d3.svg.line()
                        .interpolate("cardinal")
                        .y(function (d) {
                            return chart.yScale(d.y)
                        });
                    chart.dataPlots.objs.lines[cMetric].g = chart.dataPlots.objs.g.append("path")
                        .attr("class", "line " + cMetric)
                        .attr("data-metric", cMetric)
                        .style("fill", 'none')
                        .style("stroke", chart.colorFunct(cMetric));
                }

            }

            for (cName in chart.groupObjs) {

                cPlot = chart.groupObjs[cName].dataPlots;
                cPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "data-plot");

                // Points Plot
                if (dOpts.showPlot) {
                    cPlot.objs.points = {g: null, pts: []};
                    cPlot.objs.points.g = cPlot.objs.g.append("g").attr("class", "points-plot");
                    for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) {
                        cPlot.objs.points.pts.push(cPlot.objs.points.g
                            .append("a")
                            .attr("xlink:href", function(d) {
                                return chart.groupObjs[cName].labels[pt] + ".html"
                            })
                            .append("circle")
                            .attr("class", "point")
                            .attr('r', dOpts.pointSize / 2)// Options is diameter, r takes radius so divide by 2
                            .style("fill", chart.dataPlots.colorFunct(cName))
                            .on("mouseover", function() {
                                chart.objs.tooltip
                                    .style("display", null)
                                    .style("left", (d3.event.pageX) + "px")
                                    .style("top", (d3.event.pageY - 28) + "px");
                            })
                            .on("mouseout", function () {
                                chart.objs.tooltip.style("display", "none");
                            })
                            .on("mousemove", pointHover(chart.groupObjs[cName].labels[pt], chart.groupObjs[cName].values[pt]))
                        );
                    }
                }


                // Bean lines
                if (dOpts.showBeanLines) {
                    cPlot.objs.bean = {g: null, lines: []};
                    cPlot.objs.bean.g = cPlot.objs.g.append("g").attr("class", "bean-plot");
                    for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) {
                        cPlot.objs.bean.lines.push(cPlot.objs.bean.g.append("line")
                            .attr("class", "bean line")
                            .style("stroke-width", '1')
                            .style("stroke", chart.dataPlots.colorFunct(cName)));
                    }
                }
            }

        };
        chart.dataPlots.preparePlots();

        d3.select(window).on('resize.' + chart.selector + '.dataPlot', chart.dataPlots.update);
        chart.dataPlots.update();
        return chart;
    };

    return chart;
}

    </script>
    <title>MRIQC: group bold
report</title>
</head>
<body>
    <h1>MRIQC: group bold
report</h1>
<h2>Summary</h2>
<ul class="simple">
<li>Date and time: 2026-06-01, 18:16.</li>
<li>MRIQC version: 24.1.0.dev0+gd5b13cb5.d20240826.</li>
</ul>
<div class="chart-wrapper" id="chart-group0"></div>
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</pre>
<div class="chart-wrapper" id="chart-group1"></div>
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</pre>
<div class="chart-wrapper" id="chart-group2"></div>
<pre class="csvdata" id="data-csv2" style="display: none">
iqm,value,label,units
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fwhm_z,2.1218290823527544,sub-044_task-baseline_run-01_bold,mm
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fwhm_z,2.1109832494503955,sub-044_task-training_run-02_bold,mm
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fwhm_z,1.920016590372062,sub-052_task-training_run-02_bold,mm
fwhm_z,1.922554090271231,sub-052_task-training_run-03_bold,mm
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fwhm_z,2.023908252910445,sub-053_task-baseline_run-01_bold,mm
fwhm_z,2.1161165825797488,sub-053_task-posttest_run-01_bold,mm
fwhm_z,2.139929081633525,sub-053_task-posttest_run-02_bold,mm
fwhm_z,2.075704084185597,sub-053_task-training_run-01_bold,mm
fwhm_z,2.044699918750925,sub-053_task-training_run-02_bold,mm
fwhm_z,2.080170750674774,sub-053_task-training_run-03_bold,mm
fwhm_z,1.8278790940332772,sub-053_task-training_run-04_bold,mm
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fwhm_z,2.096641583353615,sub-054_task-baseline_run-01_bold,mm
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fwhm_z,2.08831241701792,sub-054_task-training_run-05_bold,mm
fwhm_z,1.9950332540578344,sub-056_task-baseline_run-01_bold,mm
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fwhm_z,2.0143915866219366,sub-056_task-training_run-01_bold,mm
fwhm_z,1.9705957550288933,sub-056_task-training_run-02_bold,mm
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fwhm_z,2.07710429047173,sub-057_task-training_run-01_bold,mm
fwhm_z,2.071091790113357,sub-057_task-training_run-02_bold,mm
fwhm_z,2.060954289509115,sub-057_task-training_run-03_bold,mm
fwhm_z,2.0712251234546377,sub-057_task-training_run-04_bold,mm
fwhm_z,2.0661792898205493,sub-057_task-training_run-05_bold,mm
fwhm_z,2.037187419049445,sub-058_task-baseline_run-01_bold,mm
fwhm_z,2.0866749170829886,sub-058_task-posttest_run-01_bold,mm
fwhm_z,2.10098324984776,sub-058_task-posttest_run-02_bold,mm
fwhm_z,2.059079084846215,sub-058_task-training_run-01_bold,mm
fwhm_z,2.136804081757701,sub-058_task-training_run-02_bold,mm
fwhm_z,2.373920739002198,sub-058_task-training_run-03_bold,mm
fwhm_z,2.05621241829346,sub-058_task-training_run-04_bold,mm
fwhm_z,2.1630707473806243,sub-058_task-training_run-05_bold,mm
fwhm_z,1.9540249223540256,sub-059_task-baseline_run-01_bold,mm
fwhm_z,1.999674920540058,sub-059_task-posttest_run-01_bold,mm
fwhm_z,1.9915082541979052,sub-059_task-posttest_run-02_bold,mm
fwhm_z,1.9777040880797667,sub-059_task-training_run-01_bold,mm
fwhm_z,1.9388374229575227,sub-059_task-training_run-02_bold,mm
fwhm_z,1.9852249211142488,sub-059_task-training_run-03_bold,mm
fwhm_z,2.000991587154405,sub-059_task-training_run-04_bold,mm
fwhm_z,1.8952290913570289,sub-059_task-training_run-05_bold,mm
fwhm_z,2.0037749203771384,sub-060_task-baseline_run-01_bold,mm
fwhm_z,2.032212419247134,sub-060_task-posttest_run-01_bold,mm
fwhm_z,2.0247832528756757,sub-060_task-posttest_run-02_bold,mm
fwhm_z,2.0117540867267416,sub-060_task-training_run-01_bold,mm
fwhm_z,1.9909999208847715,sub-060_task-training_run-02_bold,mm
fwhm_z,1.9965374206647308,sub-060_task-training_run-03_bold,mm
fwhm_z,1.9969915873133504,sub-060_task-training_run-04_bold,mm
fwhm_z,2.0263457528135875,sub-060_task-training_run-05_bold,mm
</pre>
<div class="chart-wrapper" id="chart-group3"></div>
<pre class="csvdata" id="data-csv3" style="display: none">
iqm,value,label,units
gsr_x,-5.918694660067558e-05,sub-001_task-baseline_run-01_bold,
gsr_x,0.002545780269429,sub-001_task-posttest_run-01_bold,
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gsr_x,0.0006711286259815,sub-001_task-training_run-01_bold,
gsr_x,0.0009500253945589,sub-001_task-training_run-02_bold,
gsr_x,0.0009437685366719,sub-001_task-training_run-03_bold,
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gsr_x,0.0007467191899195,sub-001_task-training_run-05_bold,
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gsr_x,-0.0025279293768107,sub-002_task-posttest_run-01_bold,
gsr_x,-0.0007356445421464,sub-002_task-posttest_run-02_bold,
gsr_x,-0.0030919585842639,sub-002_task-training_run-01_bold,
gsr_x,-0.0054869726300239,sub-002_task-training_run-02_bold,
gsr_x,-0.0070304227992892,sub-002_task-training_run-03_bold,
gsr_x,-0.0034900510217994,sub-002_task-training_run-04_bold,
gsr_x,-0.0008263770141638,sub-002_task-training_run-05_bold,
gsr_x,-0.0102886790409684,sub-003_task-baseline_run-01_bold,
gsr_x,-0.007735239341855,sub-003_task-posttest_run-01_bold,
gsr_x,-0.0072563341818749,sub-003_task-posttest_run-02_bold,
gsr_x,-0.0077208029106259,sub-003_task-training_run-01_bold,
gsr_x,-0.0104447044432163,sub-003_task-training_run-02_bold,
gsr_x,-0.0106003992259502,sub-003_task-training_run-03_bold,
gsr_x,-0.0106424903497099,sub-003_task-training_run-04_bold,
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gsr_x,-0.0166399870067834,sub-011_task-baseline_run-01_bold,
gsr_x,-0.0161639042198658,sub-011_task-posttest_run-01_bold,
gsr_x,-0.0165406335145235,sub-011_task-posttest_run-02_bold,
gsr_x,-0.016942773014307,sub-011_task-training_run-01_bold,
gsr_x,-0.0165362935513257,sub-011_task-training_run-02_bold,
gsr_x,-0.015985183417797,sub-011_task-training_run-03_bold,
gsr_x,-0.0156825929880142,sub-011_task-training_run-04_bold,
gsr_x,-0.015005306340754,sub-011_task-training_run-05_bold,
gsr_x,-0.0148242507129907,sub-012_task-baseline_run-01_bold,
gsr_x,-0.015598184429109,sub-012_task-posttest_run-01_bold,
gsr_x,-0.015913376584649,sub-012_task-posttest_run-02_bold,
gsr_x,-0.015416114591062,sub-012_task-training_run-01_bold,
gsr_x,-0.0151878194883465,sub-012_task-training_run-02_bold,
gsr_x,-0.0155061092227697,sub-012_task-training_run-03_bold,
gsr_x,-0.0156529173254966,sub-012_task-training_run-04_bold,
gsr_x,-0.0155560597777366,sub-012_task-training_run-05_bold,
gsr_x,-0.0119476364925503,sub-013_task-baseline_run-01_bold,
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</pre>
<div class="chart-wrapper" id="chart-group4"></div>
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</pre>
<div class="chart-wrapper" id="chart-group5"></div>
<pre class="csvdata" id="data-csv5" style="display: none">
iqm,value,label,units
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dvars_vstd,400.5099507317074,sub-042_task-training_run-03_bold,
dvars_vstd,356.2958128468195,sub-042_task-training_run-04_bold,
dvars_vstd,2296.4803256437167,sub-042_task-training_run-05_bold,
dvars_vstd,317.5941194107076,sub-043_task-baseline_run-01_bold,
dvars_vstd,265.13089282349165,sub-043_task-posttest_run-01_bold,
dvars_vstd,1320.4285459092453,sub-043_task-posttest_run-02_bold,
dvars_vstd,1.001960413394496,sub-043_task-training_run-01_bold,
dvars_vstd,2671.899148223118,sub-043_task-training_run-02_bold,
dvars_vstd,1847.692579698196,sub-043_task-training_run-03_bold,
dvars_vstd,308.08836657475587,sub-043_task-training_run-04_bold,
dvars_vstd,54.59826842658537,sub-043_task-training_run-05_bold,
dvars_vstd,1.0023620005466245,sub-044_task-baseline_run-01_bold,
dvars_vstd,1.026790039553073,sub-044_task-posttest_run-01_bold,
dvars_vstd,1.0213087239832874,sub-044_task-posttest_run-02_bold,
dvars_vstd,0.9956421573394492,sub-044_task-training_run-01_bold,
dvars_vstd,0.9758672197859328,sub-044_task-training_run-02_bold,
dvars_vstd,351.210680039417,sub-044_task-training_run-03_bold,
dvars_vstd,0.9975926848012244,sub-044_task-training_run-04_bold,
dvars_vstd,119.79512568143734,sub-044_task-training_run-05_bold,
dvars_vstd,72.99288380849354,sub-045_task-baseline_run-01_bold,
dvars_vstd,1.0053237449582175,sub-045_task-posttest_run-01_bold,
dvars_vstd,0.9801184183286916,sub-045_task-posttest_run-02_bold,
dvars_vstd,0.9908000835365862,sub-045_task-training_run-01_bold,
dvars_vstd,1.0189366774695126,sub-045_task-training_run-02_bold,
dvars_vstd,330.8435898755793,sub-045_task-training_run-03_bold,
dvars_vstd,256.8344080849389,sub-045_task-training_run-04_bold,
dvars_vstd,0.9755130223475602,sub-045_task-training_run-05_bold,
dvars_vstd,100.36582529060894,sub-046_task-baseline_run-01_bold,
dvars_vstd,904.7304427007264,sub-046_task-posttest_run-01_bold,
dvars_vstd,1178.6557016954034,sub-046_task-posttest_run-02_bold,
dvars_vstd,15.657686942201847,sub-046_task-training_run-01_bold,
dvars_vstd,638.5411059163305,sub-046_task-training_run-02_bold,
dvars_vstd,755.4815181534876,sub-046_task-training_run-03_bold,
dvars_vstd,1284.775213242538,sub-046_task-training_run-04_bold,
dvars_vstd,137.639040123994,sub-046_task-training_run-05_bold,
dvars_vstd,325.3263056622829,sub-047_task-baseline_run-01_bold,
dvars_vstd,1904.0646970922571,sub-047_task-posttest_run-01_bold,
dvars_vstd,132.60852650910616,sub-047_task-posttest_run-02_bold,
dvars_vstd,49.50176943109756,sub-047_task-training_run-01_bold,
dvars_vstd,487.4354657903657,sub-047_task-training_run-02_bold,
dvars_vstd,493.2574876247865,sub-047_task-training_run-03_bold,
dvars_vstd,0.9819388171865444,sub-047_task-training_run-04_bold,
dvars_vstd,1077.2550729782924,sub-047_task-training_run-05_bold,
dvars_vstd,871.9803665471379,sub-048_task-baseline_run-01_bold,
dvars_vstd,7.649664471229049,sub-048_task-posttest_run-01_bold,
dvars_vstd,165.91937436653632,sub-048_task-posttest_run-02_bold,
dvars_vstd,659.9933168211317,sub-048_task-training_run-01_bold,
dvars_vstd,1877.91877016595,sub-048_task-training_run-02_bold,
dvars_vstd,3127.2401238000007,sub-048_task-training_run-03_bold,
dvars_vstd,4017.2578427599983,sub-048_task-training_run-04_bold,
dvars_vstd,222.1907507288343,sub-048_task-training_run-05_bold,
dvars_vstd,1178.1105716395828,sub-049_task-baseline_run-01_bold,
dvars_vstd,1416.498197452179,sub-049_task-posttest_run-01_bold,
dvars_vstd,858.9028595915878,sub-049_task-posttest_run-02_bold,
dvars_vstd,103.92250148617738,sub-049_task-training_run-01_bold,
dvars_vstd,89.89475526587158,sub-049_task-training_run-02_bold,
dvars_vstd,0.9496133256097566,sub-049_task-training_run-03_bold,
dvars_vstd,98.73914496418963,sub-049_task-training_run-04_bold,
dvars_vstd,272.1930620380061,sub-049_task-training_run-05_bold,
dvars_vstd,1.0902444498392272,sub-050_task-baseline_run-01_bold,
dvars_vstd,1.0527563542896936,sub-050_task-posttest_run-01_bold,
dvars_vstd,0.9347509659888572,sub-050_task-posttest_run-02_bold,
dvars_vstd,1.0737899263692308,sub-050_task-training_run-01_bold,
dvars_vstd,1.1529101674617752,sub-050_task-training_run-02_bold,
dvars_vstd,0.929650220670732,sub-050_task-training_run-03_bold,
dvars_vstd,0.942008857804878,sub-050_task-training_run-04_bold,
dvars_vstd,1.01906786146789,sub-050_task-training_run-05_bold,
dvars_vstd,195.63560685929505,sub-051_task-baseline_run-01_bold,
dvars_vstd,1.0027532208356544,sub-051_task-posttest_run-01_bold,
dvars_vstd,182.12264177873956,sub-051_task-posttest_run-02_bold,
dvars_vstd,698.9772484077977,sub-051_task-training_run-01_bold,
dvars_vstd,266.30032185113146,sub-051_task-training_run-02_bold,
dvars_vstd,24.31667610923548,sub-051_task-training_run-03_bold,
dvars_vstd,164.33583617446484,sub-051_task-training_run-04_bold,
dvars_vstd,202.6702923199388,sub-051_task-training_run-05_bold,
dvars_vstd,1.0098524983333337,sub-052_task-baseline_run-01_bold,
dvars_vstd,0.9995814748044696,sub-052_task-posttest_run-01_bold,
dvars_vstd,0.9651783268435752,sub-052_task-posttest_run-02_bold,
dvars_vstd,277.54468376222604,sub-052_task-training_run-01_bold,
dvars_vstd,31.85332155529052,sub-052_task-training_run-02_bold,
dvars_vstd,426.7532819521716,sub-052_task-training_run-03_bold,
dvars_vstd,30.71582610027522,sub-052_task-training_run-04_bold,
dvars_vstd,140.70675474363912,sub-052_task-training_run-05_bold,
dvars_vstd,179.5168772172115,sub-053_task-baseline_run-01_bold,
dvars_vstd,1362.0171481229256,sub-053_task-posttest_run-01_bold,
dvars_vstd,281.4111192635015,sub-053_task-posttest_run-02_bold,
dvars_vstd,2138.3386873482323,sub-053_task-training_run-01_bold,
dvars_vstd,559.940743714207,sub-053_task-training_run-02_bold,
dvars_vstd,3003.759128670548,sub-053_task-training_run-03_bold,
dvars_vstd,715.3591452657316,sub-053_task-training_run-04_bold,
dvars_vstd,878.834654128654,sub-053_task-training_run-05_bold,
dvars_vstd,0.987945169519231,sub-054_task-baseline_run-01_bold,
dvars_vstd,58.41369933451249,sub-054_task-posttest_run-01_bold,
dvars_vstd,2.192791188913649,sub-054_task-posttest_run-02_bold,
dvars_vstd,0.9952798749390244,sub-054_task-training_run-01_bold,
dvars_vstd,0.9855967609480122,sub-054_task-training_run-02_bold,
dvars_vstd,440.2953516635977,sub-054_task-training_run-03_bold,
dvars_vstd,1.0016805046646344,sub-054_task-training_run-04_bold,
dvars_vstd,403.6546056324085,sub-054_task-training_run-05_bold,
dvars_vstd,1.0506277984294874,sub-056_task-baseline_run-01_bold,
dvars_vstd,3371.288453385625,sub-056_task-posttest_run-01_bold,
dvars_vstd,1.039168976824513,sub-056_task-posttest_run-02_bold,
dvars_vstd,246.0666425591438,sub-056_task-training_run-01_bold,
dvars_vstd,0.9846026893251532,sub-056_task-training_run-02_bold,
dvars_vstd,1.067847319174313,sub-056_task-training_run-03_bold,
dvars_vstd,1.017970775121952,sub-056_task-training_run-04_bold,
dvars_vstd,479.1910260275535,sub-056_task-training_run-05_bold,
dvars_vstd,645.2548817441669,sub-057_task-baseline_run-01_bold,
dvars_vstd,613.6726401373745,sub-057_task-posttest_run-01_bold,
dvars_vstd,542.4300498756705,sub-057_task-posttest_run-02_bold,
dvars_vstd,552.5225597186281,sub-057_task-training_run-01_bold,
dvars_vstd,2770.5350875383224,sub-057_task-training_run-02_bold,
dvars_vstd,603.7189705776759,sub-057_task-training_run-03_bold,
dvars_vstd,758.7732769305194,sub-057_task-training_run-04_bold,
dvars_vstd,82.74552574256877,sub-057_task-training_run-05_bold,
dvars_vstd,1635.191611377404,sub-058_task-baseline_run-01_bold,
dvars_vstd,271.7216182298052,sub-058_task-posttest_run-01_bold,
dvars_vstd,719.2563765227327,sub-058_task-posttest_run-02_bold,
dvars_vstd,1.008252675731706,sub-058_task-training_run-01_bold,
dvars_vstd,1.118264308282209,sub-058_task-training_run-02_bold,
dvars_vstd,0.9507218036890244,sub-058_task-training_run-03_bold,
dvars_vstd,148.47110664186533,sub-058_task-training_run-04_bold,
dvars_vstd,1.1037346648466253,sub-058_task-training_run-05_bold,
dvars_vstd,1132.8895596343907,sub-059_task-baseline_run-01_bold,
dvars_vstd,987.848506679862,sub-059_task-posttest_run-01_bold,
dvars_vstd,659.6621798922557,sub-059_task-posttest_run-02_bold,
dvars_vstd,1483.232224201952,sub-059_task-training_run-01_bold,
dvars_vstd,1278.8018178757795,sub-059_task-training_run-02_bold,
dvars_vstd,251.01692288960385,sub-059_task-training_run-03_bold,
dvars_vstd,1542.2148941549983,sub-059_task-training_run-04_bold,
dvars_vstd,1248.4312379006096,sub-059_task-training_run-05_bold,
dvars_vstd,0.9979955837299028,sub-060_task-baseline_run-01_bold,
dvars_vstd,307.0503927766477,sub-060_task-posttest_run-01_bold,
dvars_vstd,198.8296773713481,sub-060_task-posttest_run-02_bold,
dvars_vstd,143.32680372305813,sub-060_task-training_run-01_bold,
dvars_vstd,133.34303918657494,sub-060_task-training_run-02_bold,
dvars_vstd,5.952809746177363,sub-060_task-training_run-03_bold,
dvars_vstd,162.48944784687131,sub-060_task-training_run-04_bold,
dvars_vstd,223.80343535892652,sub-060_task-training_run-05_bold,
</pre>
<div class="chart-wrapper" id="chart-group6"></div>
<pre class="csvdata" id="data-csv6" style="display: none">
iqm,value,label,units
dvars_nstd,49.21545344134612,sub-001_task-baseline_run-01_bold,
dvars_nstd,49.86083159620112,sub-001_task-posttest_run-01_bold,
dvars_nstd,50.05289837499994,sub-001_task-posttest_run-02_bold,
dvars_nstd,48.62407334256099,sub-001_task-training_run-01_bold,
dvars_nstd,49.91583435097862,sub-001_task-training_run-02_bold,
dvars_nstd,49.67174108760738,sub-001_task-training_run-03_bold,
dvars_nstd,49.81374000993885,sub-001_task-training_run-04_bold,
dvars_nstd,49.813366018128825,sub-001_task-training_run-05_bold,
dvars_nstd,47.151110732025735,sub-002_task-baseline_run-01_bold,
dvars_nstd,47.17118230824512,sub-002_task-posttest_run-01_bold,
dvars_nstd,47.69306465523682,sub-002_task-posttest_run-02_bold,
dvars_nstd,47.24694619536586,sub-002_task-training_run-01_bold,
dvars_nstd,47.50331483228659,sub-002_task-training_run-02_bold,
dvars_nstd,48.13618246425072,sub-002_task-training_run-03_bold,
dvars_nstd,47.04198100122703,sub-002_task-training_run-04_bold,
dvars_nstd,46.31736749541286,sub-002_task-training_run-05_bold,
dvars_nstd,49.662725614115736,sub-003_task-baseline_run-01_bold,
dvars_nstd,51.30980502859943,sub-003_task-posttest_run-01_bold,
dvars_nstd,50.51306765044694,sub-003_task-posttest_run-02_bold,
dvars_nstd,50.690630559816526,sub-003_task-training_run-01_bold,
dvars_nstd,50.876314942347584,sub-003_task-training_run-02_bold,
dvars_nstd,52.32879537168196,sub-003_task-training_run-03_bold,
dvars_nstd,51.6553761660245,sub-003_task-training_run-04_bold,
dvars_nstd,50.45604173828749,sub-003_task-training_run-05_bold,
dvars_nstd,55.38231532996795,sub-004_task-baseline_run-01_bold,
dvars_nstd,50.76601704236769,sub-004_task-posttest_run-01_bold,
dvars_nstd,49.58947700617319,sub-004_task-posttest_run-02_bold,
dvars_nstd,51.589149230945104,sub-004_task-training_run-01_bold,
dvars_nstd,53.07875496021342,sub-004_task-training_run-02_bold,
dvars_nstd,51.6416024697561,sub-004_task-training_run-03_bold,
dvars_nstd,53.944964757835336,sub-004_task-training_run-04_bold,
dvars_nstd,50.44376731490854,sub-004_task-training_run-05_bold,
dvars_nstd,44.26633969333335,sub-005_task-baseline_run-01_bold,
dvars_nstd,44.594076369916216,sub-005_task-posttest_run-01_bold,
dvars_nstd,43.731600796470616,sub-005_task-posttest_run-02_bold,
dvars_nstd,44.10814245725609,sub-005_task-training_run-01_bold,
dvars_nstd,44.464623718536586,sub-005_task-training_run-02_bold,
dvars_nstd,43.59828227899389,sub-005_task-training_run-03_bold,
dvars_nstd,44.69328948951218,sub-005_task-training_run-04_bold,
dvars_nstd,43.87219366577979,sub-005_task-training_run-05_bold,
dvars_nstd,46.95783954764519,sub-006_task-baseline_run-01_bold,
dvars_nstd,47.45495199348314,sub-006_task-posttest_run-01_bold,
dvars_nstd,48.66730075058822,sub-006_task-posttest_run-02_bold,
dvars_nstd,47.16898168623852,sub-006_task-training_run-01_bold,
dvars_nstd,46.93972392168198,sub-006_task-training_run-02_bold,
dvars_nstd,47.070680748478296,sub-006_task-training_run-03_bold,
dvars_nstd,48.70765096929664,sub-006_task-training_run-04_bold,
dvars_nstd,48.07841901168195,sub-006_task-training_run-05_bold,
dvars_nstd,57.43554943041659,sub-007_task-baseline_run-01_bold,
dvars_nstd,53.78305743334256,sub-007_task-posttest_run-01_bold,
dvars_nstd,53.89861379659221,sub-007_task-posttest_run-02_bold,
dvars_nstd,55.23420502490855,sub-007_task-training_run-01_bold,
dvars_nstd,55.081038288811,sub-007_task-training_run-02_bold,
dvars_nstd,55.70409060679877,sub-007_task-training_run-03_bold,
dvars_nstd,55.6398650821101,sub-007_task-training_run-04_bold,
dvars_nstd,53.49756225616566,sub-007_task-training_run-05_bold,
dvars_nstd,48.0773216029487,sub-008_task-baseline_run-01_bold,
dvars_nstd,48.24802271164347,sub-008_task-posttest_run-01_bold,
dvars_nstd,47.66937726579386,sub-008_task-posttest_run-02_bold,
dvars_nstd,53.18354512432924,sub-008_task-training_run-01_bold,
dvars_nstd,52.75759084073169,sub-008_task-training_run-02_bold,
dvars_nstd,48.85099562207316,sub-008_task-training_run-03_bold,
dvars_nstd,49.526871147645295,sub-008_task-training_run-04_bold,
dvars_nstd,54.1378068225305,sub-008_task-training_run-05_bold,
dvars_nstd,42.8951620690064,sub-009_task-baseline_run-01_bold,
dvars_nstd,47.36709101501406,sub-009_task-posttest_run-01_bold,
dvars_nstd,49.2537307633053,sub-009_task-posttest_run-02_bold,
dvars_nstd,43.68804140783541,sub-009_task-training_run-01_bold,
dvars_nstd,41.8698048722936,sub-009_task-training_run-02_bold,
dvars_nstd,43.008042091128,sub-009_task-training_run-03_bold,
dvars_nstd,44.30305212623855,sub-009_task-training_run-04_bold,
dvars_nstd,46.42087733957056,sub-009_task-training_run-05_bold,
dvars_nstd,46.68423352745981,sub-010_task-baseline_run-01_bold,
dvars_nstd,45.97861798240222,sub-010_task-posttest_run-01_bold,
dvars_nstd,46.40013115061451,sub-010_task-posttest_run-02_bold,
dvars_nstd,46.49323710162081,sub-010_task-training_run-01_bold,
dvars_nstd,46.82646786984704,sub-010_task-training_run-02_bold,
dvars_nstd,47.20833858305811,sub-010_task-training_run-03_bold,
dvars_nstd,46.01407417454266,sub-010_task-training_run-04_bold,
dvars_nstd,45.98394364887193,sub-010_task-training_run-05_bold,
dvars_nstd,43.40558268464744,sub-011_task-baseline_run-01_bold,
dvars_nstd,44.35838929916435,sub-011_task-posttest_run-01_bold,
dvars_nstd,45.22603292665735,sub-011_task-posttest_run-02_bold,
dvars_nstd,45.46326002228656,sub-011_task-training_run-01_bold,
dvars_nstd,45.45339351762191,sub-011_task-training_run-02_bold,
dvars_nstd,44.5077475570732,sub-011_task-training_run-03_bold,
dvars_nstd,45.20029682758412,sub-011_task-training_run-04_bold,
dvars_nstd,44.2460145135061,sub-011_task-training_run-05_bold,
dvars_nstd,45.80916452416667,sub-012_task-baseline_run-01_bold,
dvars_nstd,45.10351351027856,sub-012_task-posttest_run-01_bold,
dvars_nstd,44.14583686748603,sub-012_task-posttest_run-02_bold,
dvars_nstd,47.5701679720122,sub-012_task-training_run-01_bold,
dvars_nstd,47.20944418533533,sub-012_task-training_run-02_bold,
dvars_nstd,46.15329783121953,sub-012_task-training_run-03_bold,
dvars_nstd,45.987430921158506,sub-012_task-training_run-04_bold,
dvars_nstd,46.07822920990827,sub-012_task-training_run-05_bold,
dvars_nstd,43.87659868836538,sub-013_task-baseline_run-01_bold,
dvars_nstd,44.7106417862849,sub-013_task-posttest_run-01_bold,
dvars_nstd,45.8454243858659,sub-013_task-posttest_run-02_bold,
dvars_nstd,44.22242159348626,sub-013_task-training_run-01_bold,
dvars_nstd,44.84086156503052,sub-013_task-training_run-02_bold,
dvars_nstd,44.49222518195123,sub-013_task-training_run-03_bold,
dvars_nstd,43.94861526030487,sub-013_task-training_run-04_bold,
dvars_nstd,44.27097611015293,sub-013_task-training_run-05_bold,
dvars_nstd,49.28657924244371,sub-014_task-baseline_run-01_bold,
dvars_nstd,48.37723733069834,sub-014_task-posttest_run-01_bold,
dvars_nstd,48.46119408600559,sub-014_task-posttest_run-02_bold,
dvars_nstd,49.15430821448175,sub-014_task-training_run-01_bold,
dvars_nstd,48.74102538214065,sub-014_task-training_run-02_bold,
dvars_nstd,49.29166419345568,sub-014_task-training_run-03_bold,
dvars_nstd,49.11795579400612,sub-014_task-training_run-04_bold,
dvars_nstd,48.14653589097857,sub-014_task-training_run-05_bold,
dvars_nstd,47.719099753814085,sub-015_task-baseline_run-01_bold,
dvars_nstd,46.23553027759779,sub-015_task-posttest_run-01_bold,
dvars_nstd,45.82176170225625,sub-015_task-posttest_run-02_bold,
dvars_nstd,46.94693799152443,sub-015_task-training_run-01_bold,
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dvars_nstd,40.61403136019553,sub-048_task-posttest_run-01_bold,
dvars_nstd,41.15826005793299,sub-048_task-posttest_run-02_bold,
dvars_nstd,43.74991323015292,sub-048_task-training_run-01_bold,
dvars_nstd,43.605539602914114,sub-048_task-training_run-02_bold,
dvars_nstd,43.86921101602445,sub-048_task-training_run-03_bold,
dvars_nstd,43.65189481700304,sub-048_task-training_run-04_bold,
dvars_nstd,41.86169472196321,sub-048_task-training_run-05_bold,
dvars_nstd,49.25784052342948,sub-049_task-baseline_run-01_bold,
dvars_nstd,49.57491146896648,sub-049_task-posttest_run-01_bold,
dvars_nstd,51.929661466518056,sub-049_task-posttest_run-02_bold,
dvars_nstd,49.90080225064221,sub-049_task-training_run-01_bold,
dvars_nstd,50.31505860033639,sub-049_task-training_run-02_bold,
dvars_nstd,50.10525682475612,sub-049_task-training_run-03_bold,
dvars_nstd,50.73597065183485,sub-049_task-training_run-04_bold,
dvars_nstd,51.02677991217792,sub-049_task-training_run-05_bold,
dvars_nstd,54.87434383491959,sub-050_task-baseline_run-01_bold,
dvars_nstd,62.46345993958216,sub-050_task-posttest_run-01_bold,
dvars_nstd,60.11882672529253,sub-050_task-posttest_run-02_bold,
dvars_nstd,52.59281630295381,sub-050_task-training_run-01_bold,
dvars_nstd,65.1232373066361,sub-050_task-training_run-02_bold,
dvars_nstd,70.5615718073476,sub-050_task-training_run-03_bold,
dvars_nstd,75.80913551844512,sub-050_task-training_run-04_bold,
dvars_nstd,67.4924525457492,sub-050_task-training_run-05_bold,
dvars_nstd,46.78160635605772,sub-051_task-baseline_run-01_bold,
dvars_nstd,47.43813169894151,sub-051_task-posttest_run-01_bold,
dvars_nstd,46.99961162719888,sub-051_task-posttest_run-02_bold,
dvars_nstd,48.79152762275231,sub-051_task-training_run-01_bold,
dvars_nstd,48.4885067483486,sub-051_task-training_run-02_bold,
dvars_nstd,44.718798039266055,sub-051_task-training_run-03_bold,
dvars_nstd,45.37404512400611,sub-051_task-training_run-04_bold,
dvars_nstd,46.3328009440061,sub-051_task-training_run-05_bold,
dvars_nstd,46.25012273070511,sub-052_task-baseline_run-01_bold,
dvars_nstd,47.5148173390223,sub-052_task-posttest_run-01_bold,
dvars_nstd,47.30668731770951,sub-052_task-posttest_run-02_bold,
dvars_nstd,46.18588656914637,sub-052_task-training_run-01_bold,
dvars_nstd,45.273975267033634,sub-052_task-training_run-02_bold,
dvars_nstd,45.49178208024463,sub-052_task-training_run-03_bold,
dvars_nstd,45.81360172428133,sub-052_task-training_run-04_bold,
dvars_nstd,47.60043396743117,sub-052_task-training_run-05_bold,
dvars_nstd,48.1521049522436,sub-053_task-baseline_run-01_bold,
dvars_nstd,53.88089328200558,sub-053_task-posttest_run-01_bold,
dvars_nstd,55.7828575794118,sub-053_task-posttest_run-02_bold,
dvars_nstd,51.59799495606706,sub-053_task-training_run-01_bold,
dvars_nstd,49.87589890786584,sub-053_task-training_run-02_bold,
dvars_nstd,50.406971815091474,sub-053_task-training_run-03_bold,
dvars_nstd,49.35887978719514,sub-053_task-training_run-04_bold,
dvars_nstd,52.6115624783486,sub-053_task-training_run-05_bold,
dvars_nstd,42.86905020923079,sub-054_task-baseline_run-01_bold,
dvars_nstd,42.93168752782731,sub-054_task-posttest_run-01_bold,
dvars_nstd,42.73651387632312,sub-054_task-posttest_run-02_bold,
dvars_nstd,42.15643162856707,sub-054_task-training_run-01_bold,
dvars_nstd,43.26475577406728,sub-054_task-training_run-02_bold,
dvars_nstd,41.77086281176826,sub-054_task-training_run-03_bold,
dvars_nstd,42.40954464246949,sub-054_task-training_run-04_bold,
dvars_nstd,43.41229089871951,sub-054_task-training_run-05_bold,
dvars_nstd,47.29426912179486,sub-056_task-baseline_run-01_bold,
dvars_nstd,51.32945569200552,sub-056_task-posttest_run-01_bold,
dvars_nstd,51.33173729509746,sub-056_task-posttest_run-02_bold,
dvars_nstd,51.61456609110091,sub-056_task-training_run-01_bold,
dvars_nstd,47.84855368687118,sub-056_task-training_run-02_bold,
dvars_nstd,47.007220662079504,sub-056_task-training_run-03_bold,
dvars_nstd,47.85507891798776,sub-056_task-training_run-04_bold,
dvars_nstd,52.76050924596333,sub-056_task-training_run-05_bold,
dvars_nstd,47.93366745173079,sub-057_task-baseline_run-01_bold,
dvars_nstd,47.98007637946924,sub-057_task-posttest_run-01_bold,
dvars_nstd,48.497327932514,sub-057_task-posttest_run-02_bold,
dvars_nstd,48.55514556603657,sub-057_task-training_run-01_bold,
dvars_nstd,48.665584250243896,sub-057_task-training_run-02_bold,
dvars_nstd,48.38815973703362,sub-057_task-training_run-03_bold,
dvars_nstd,48.47630746351684,sub-057_task-training_run-04_bold,
dvars_nstd,48.48712398498472,sub-057_task-training_run-05_bold,
dvars_nstd,44.30095327836537,sub-058_task-baseline_run-01_bold,
dvars_nstd,45.54948832253484,sub-058_task-posttest_run-01_bold,
dvars_nstd,46.09334555616897,sub-058_task-posttest_run-02_bold,
dvars_nstd,46.29683750454269,sub-058_task-training_run-01_bold,
dvars_nstd,46.15394030607363,sub-058_task-training_run-02_bold,
dvars_nstd,46.177900709999975,sub-058_task-training_run-03_bold,
dvars_nstd,45.56570211746178,sub-058_task-training_run-04_bold,
dvars_nstd,48.18778006438648,sub-058_task-training_run-05_bold,
dvars_nstd,49.564302542435925,sub-059_task-baseline_run-01_bold,
dvars_nstd,50.67428802445681,sub-059_task-posttest_run-01_bold,
dvars_nstd,51.25814278487464,sub-059_task-posttest_run-02_bold,
dvars_nstd,49.504493748231695,sub-059_task-training_run-01_bold,
dvars_nstd,50.584390342630016,sub-059_task-training_run-02_bold,
dvars_nstd,50.09718306487803,sub-059_task-training_run-03_bold,
dvars_nstd,50.2796891957317,sub-059_task-training_run-04_bold,
dvars_nstd,51.13496611734755,sub-059_task-training_run-05_bold,
dvars_nstd,40.79798018292604,sub-060_task-baseline_run-01_bold,
dvars_nstd,44.40432185156422,sub-060_task-posttest_run-01_bold,
dvars_nstd,44.438811709578665,sub-060_task-posttest_run-02_bold,
dvars_nstd,42.50861208155965,sub-060_task-training_run-01_bold,
dvars_nstd,41.25987618128444,sub-060_task-training_run-02_bold,
dvars_nstd,41.36147397003057,sub-060_task-training_run-03_bold,
dvars_nstd,41.97712514441721,sub-060_task-training_run-04_bold,
dvars_nstd,44.964121333006176,sub-060_task-training_run-05_bold,
</pre>
<div class="chart-wrapper" id="chart-group7"></div>
<pre class="csvdata" id="data-csv7" style="display: none">
iqm,value,label,units
fd_mean,0.0877055926613321,sub-001_task-baseline_run-01_bold,mm
fd_mean,0.1246663877858564,sub-001_task-posttest_run-01_bold,mm
fd_mean,0.1281440786390922,sub-001_task-posttest_run-02_bold,mm
fd_mean,0.1005660394821288,sub-001_task-training_run-01_bold,mm
fd_mean,0.1058838598298622,sub-001_task-training_run-02_bold,mm
fd_mean,0.1077819207022954,sub-001_task-training_run-03_bold,mm
fd_mean,0.1187585781935308,sub-001_task-training_run-04_bold,mm
fd_mean,0.1131946585805925,sub-001_task-training_run-05_bold,mm
fd_mean,0.1150378803937328,sub-002_task-baseline_run-01_bold,mm
fd_mean,0.1609373215664572,sub-002_task-posttest_run-01_bold,mm
fd_mean,0.1330037365098346,sub-002_task-posttest_run-02_bold,mm
fd_mean,0.1440047126908226,sub-002_task-training_run-01_bold,mm
fd_mean,0.1142430041243193,sub-002_task-training_run-02_bold,mm
fd_mean,0.1584194821885303,sub-002_task-training_run-03_bold,mm
fd_mean,0.1172448737401446,sub-002_task-training_run-04_bold,mm
fd_mean,0.1197608557841491,sub-002_task-training_run-05_bold,mm
fd_mean,0.101649029140754,sub-003_task-baseline_run-01_bold,mm
fd_mean,0.1168617955778516,sub-003_task-posttest_run-01_bold,mm
fd_mean,0.1406053849476942,sub-003_task-posttest_run-02_bold,mm
fd_mean,0.0991789420548243,sub-003_task-training_run-01_bold,mm
fd_mean,0.096612986458507,sub-003_task-training_run-02_bold,mm
fd_mean,0.1151621619080985,sub-003_task-training_run-03_bold,mm
fd_mean,0.1084654639980105,sub-003_task-training_run-04_bold,mm
fd_mean,0.0863817214376524,sub-003_task-training_run-05_bold,mm
fd_mean,0.255445797552317,sub-004_task-baseline_run-01_bold,mm
fd_mean,0.2005373939760722,sub-004_task-posttest_run-01_bold,mm
fd_mean,0.2054374340895708,sub-004_task-posttest_run-02_bold,mm
fd_mean,0.1887804319866139,sub-004_task-training_run-01_bold,mm
fd_mean,0.1995869838311595,sub-004_task-training_run-02_bold,mm
fd_mean,0.1881553252956244,sub-004_task-training_run-03_bold,mm
fd_mean,0.1795412465308561,sub-004_task-training_run-04_bold,mm
fd_mean,0.1835788292983804,sub-004_task-training_run-05_bold,mm
fd_mean,0.1125399870361163,sub-005_task-baseline_run-01_bold,mm
fd_mean,0.1222135877715012,sub-005_task-posttest_run-01_bold,mm
fd_mean,0.1226652576877524,sub-005_task-posttest_run-02_bold,mm
fd_mean,0.1162568473632429,sub-005_task-training_run-01_bold,mm
fd_mean,0.1178729576491018,sub-005_task-training_run-02_bold,mm
fd_mean,0.1074908435940319,sub-005_task-training_run-03_bold,mm
fd_mean,0.1188548054958302,sub-005_task-training_run-04_bold,mm
fd_mean,0.1085223693260967,sub-005_task-training_run-05_bold,mm
fd_mean,0.1190846332610699,sub-006_task-baseline_run-01_bold,mm
fd_mean,0.1593057479371631,sub-006_task-posttest_run-01_bold,mm
fd_mean,0.1825859116423717,sub-006_task-posttest_run-02_bold,mm
fd_mean,0.1242901976545953,sub-006_task-training_run-01_bold,mm
fd_mean,0.1112938536305412,sub-006_task-training_run-02_bold,mm
fd_mean,0.1136143113501459,sub-006_task-training_run-03_bold,mm
fd_mean,0.1310226930126462,sub-006_task-training_run-04_bold,mm
fd_mean,0.1390863815891021,sub-006_task-training_run-05_bold,mm
fd_mean,0.2295398674598394,sub-007_task-baseline_run-01_bold,mm
fd_mean,0.1799212746207859,sub-007_task-posttest_run-01_bold,mm
fd_mean,0.1694711102550814,sub-007_task-posttest_run-02_bold,mm
fd_mean,0.2175153047143326,sub-007_task-training_run-01_bold,mm
fd_mean,0.207201816459506,sub-007_task-training_run-02_bold,mm
fd_mean,0.1884045916529591,sub-007_task-training_run-03_bold,mm
fd_mean,0.1824576352751394,sub-007_task-training_run-04_bold,mm
fd_mean,0.1854934255178277,sub-007_task-training_run-05_bold,mm
fd_mean,0.1394011923237359,sub-008_task-baseline_run-01_bold,mm
fd_mean,0.1298780671553462,sub-008_task-posttest_run-01_bold,mm
fd_mean,0.1450063270544117,sub-008_task-posttest_run-02_bold,mm
fd_mean,0.2262507307585441,sub-008_task-training_run-01_bold,mm
fd_mean,0.2272824343632948,sub-008_task-training_run-02_bold,mm
fd_mean,0.1266209258871081,sub-008_task-training_run-03_bold,mm
fd_mean,0.1179736645467695,sub-008_task-training_run-04_bold,mm
fd_mean,0.1364211191038961,sub-008_task-training_run-05_bold,mm
fd_mean,0.0969495133499203,sub-009_task-baseline_run-01_bold,mm
fd_mean,0.1099826902276844,sub-009_task-posttest_run-01_bold,mm
fd_mean,0.1470632747094357,sub-009_task-posttest_run-02_bold,mm
fd_mean,0.0955441015116857,sub-009_task-training_run-01_bold,mm
fd_mean,0.0991488773237467,sub-009_task-training_run-02_bold,mm
fd_mean,0.1149855224365097,sub-009_task-training_run-03_bold,mm
fd_mean,0.1032670326516971,sub-009_task-training_run-04_bold,mm
fd_mean,0.10329462804778,sub-009_task-training_run-05_bold,mm
fd_mean,0.1214276601990895,sub-010_task-baseline_run-01_bold,mm
fd_mean,0.1186572315621939,sub-010_task-posttest_run-01_bold,mm
fd_mean,0.1142106148211062,sub-010_task-posttest_run-02_bold,mm
fd_mean,0.1268610407315287,sub-010_task-training_run-01_bold,mm
fd_mean,0.1061603850417574,sub-010_task-training_run-02_bold,mm
fd_mean,0.1129024310113314,sub-010_task-training_run-03_bold,mm
fd_mean,0.1064322507517987,sub-010_task-training_run-04_bold,mm
fd_mean,0.1058831606231439,sub-010_task-training_run-05_bold,mm
fd_mean,0.0766357005700878,sub-011_task-baseline_run-01_bold,mm
fd_mean,0.0821380427973861,sub-011_task-posttest_run-01_bold,mm
fd_mean,0.0823267252243574,sub-011_task-posttest_run-02_bold,mm
fd_mean,0.0893044938317285,sub-011_task-training_run-01_bold,mm
fd_mean,0.0997171141566525,sub-011_task-training_run-02_bold,mm
fd_mean,0.0749614856906757,sub-011_task-training_run-03_bold,mm
fd_mean,0.0808314287968632,sub-011_task-training_run-04_bold,mm
fd_mean,0.0807125898387528,sub-011_task-training_run-05_bold,mm
fd_mean,0.1025255029468173,sub-012_task-baseline_run-01_bold,mm
fd_mean,0.1104638634983974,sub-012_task-posttest_run-01_bold,mm
fd_mean,0.0993232720955873,sub-012_task-posttest_run-02_bold,mm
fd_mean,0.1216208248796339,sub-012_task-training_run-01_bold,mm
fd_mean,0.1078012557147052,sub-012_task-training_run-02_bold,mm
fd_mean,0.1106400273879542,sub-012_task-training_run-03_bold,mm
fd_mean,0.1105050690122532,sub-012_task-training_run-04_bold,mm
fd_mean,0.1104279587345505,sub-012_task-training_run-05_bold,mm
fd_mean,0.1477342558828525,sub-013_task-baseline_run-01_bold,mm
fd_mean,0.1352749496381135,sub-013_task-posttest_run-01_bold,mm
fd_mean,0.1578147720506203,sub-013_task-posttest_run-02_bold,mm
fd_mean,0.1462332574482744,sub-013_task-training_run-01_bold,mm
fd_mean,0.1536245503458038,sub-013_task-training_run-02_bold,mm
fd_mean,0.1249215881181357,sub-013_task-training_run-03_bold,mm
fd_mean,0.1183805249865729,sub-013_task-training_run-04_bold,mm
fd_mean,0.126463159748898,sub-013_task-training_run-05_bold,mm
fd_mean,0.1903174226657489,sub-014_task-baseline_run-01_bold,mm
fd_mean,0.1705410119521607,sub-014_task-posttest_run-01_bold,mm
fd_mean,0.1729842581393441,sub-014_task-posttest_run-02_bold,mm
fd_mean,0.1819910751365761,sub-014_task-training_run-01_bold,mm
fd_mean,0.1667873452396827,sub-014_task-training_run-02_bold,mm
fd_mean,0.1565759903228185,sub-014_task-training_run-03_bold,mm
fd_mean,0.1768507583323238,sub-014_task-training_run-04_bold,mm
fd_mean,0.1441475924817256,sub-014_task-training_run-05_bold,mm
fd_mean,0.10955438355537,sub-015_task-baseline_run-01_bold,mm
fd_mean,0.1060948158901581,sub-015_task-posttest_run-01_bold,mm
fd_mean,0.0918495878587851,sub-015_task-posttest_run-02_bold,mm
fd_mean,0.1056344080958426,sub-015_task-training_run-01_bold,mm
fd_mean,0.0993018582759167,sub-015_task-training_run-02_bold,mm
fd_mean,0.0948678761258969,sub-015_task-training_run-03_bold,mm
fd_mean,0.0953218799167246,sub-015_task-training_run-04_bold,mm
fd_mean,0.0962543188483814,sub-015_task-training_run-05_bold,mm
fd_mean,0.1325576970116032,sub-016_task-baseline_run-01_bold,mm
fd_mean,0.1319451700768724,sub-016_task-posttest_run-01_bold,mm
fd_mean,0.1399786071819214,sub-016_task-posttest_run-02_bold,mm
fd_mean,0.1234825519893201,sub-016_task-training_run-01_bold,mm
fd_mean,0.1372908135298161,sub-016_task-training_run-02_bold,mm
fd_mean,0.119909097832415,sub-016_task-training_run-03_bold,mm
fd_mean,0.1306444674149944,sub-016_task-training_run-04_bold,mm
fd_mean,0.1465586786327156,sub-016_task-training_run-05_bold,mm
fd_mean,0.0939719783401663,sub-017_task-baseline_run-01_bold,mm
fd_mean,0.1264639683360923,sub-017_task-posttest_run-01_bold,mm
fd_mean,0.1496740259570515,sub-017_task-posttest_run-02_bold,mm
fd_mean,0.0947855958385756,sub-017_task-training_run-01_bold,mm
fd_mean,0.3507758689527505,sub-017_task-training_run-02_bold,mm
fd_mean,0.4056634517645474,sub-017_task-training_run-03_bold,mm
fd_mean,0.2450093482229842,sub-017_task-training_run-04_bold,mm
fd_mean,0.1091317360740982,sub-017_task-training_run-05_bold,mm
fd_mean,0.1376409750789636,sub-018_task-baseline_run-01_bold,mm
fd_mean,0.2049562125219087,sub-018_task-posttest_run-01_bold,mm
fd_mean,0.2250409075867403,sub-018_task-posttest_run-02_bold,mm
fd_mean,0.169723937798477,sub-018_task-training_run-01_bold,mm
fd_mean,0.140670295734363,sub-018_task-training_run-02_bold,mm
fd_mean,0.1399936987491163,sub-018_task-training_run-03_bold,mm
fd_mean,0.1694923654722148,sub-018_task-training_run-04_bold,mm
fd_mean,0.162161039637968,sub-018_task-training_run-05_bold,mm
fd_mean,0.1585773282161951,sub-019_task-baseline_run-01_bold,mm
fd_mean,0.1651351407738951,sub-019_task-posttest_run-01_bold,mm
fd_mean,0.1583984348300932,sub-019_task-posttest_run-02_bold,mm
fd_mean,0.1681351737451696,sub-019_task-training_run-01_bold,mm
fd_mean,0.1762674037542896,sub-019_task-training_run-02_bold,mm
fd_mean,0.1458878393354906,sub-019_task-training_run-03_bold,mm
fd_mean,0.1488789702787718,sub-019_task-training_run-04_bold,mm
fd_mean,0.1460493701889061,sub-019_task-training_run-05_bold,mm
fd_mean,0.0763523977504054,sub-020_task-baseline_run-01_bold,mm
fd_mean,0.1052132441261622,sub-020_task-posttest_run-01_bold,mm
fd_mean,0.1101288852917546,sub-020_task-posttest_run-02_bold,mm
fd_mean,0.0701476123950237,sub-020_task-training_run-01_bold,mm
fd_mean,0.0675414519225714,sub-020_task-training_run-02_bold,mm
fd_mean,0.0707590837761806,sub-020_task-training_run-03_bold,mm
fd_mean,0.0721883801234556,sub-020_task-training_run-04_bold,mm
fd_mean,0.0693997322735713,sub-020_task-training_run-05_bold,mm
fd_mean,0.1552671298618806,sub-021_task-baseline_run-01_bold,mm
fd_mean,0.1348218301238656,sub-021_task-posttest_run-01_bold,mm
fd_mean,0.1446888374357396,sub-021_task-posttest_run-02_bold,mm
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fd_mean,0.0943285618453296,sub-054_task-posttest_run-01_bold,mm
fd_mean,0.098320162030127,sub-054_task-posttest_run-02_bold,mm
fd_mean,0.0727568042493433,sub-054_task-training_run-01_bold,mm
fd_mean,0.0893878015594752,sub-054_task-training_run-02_bold,mm
fd_mean,0.0944091450419907,sub-054_task-training_run-03_bold,mm
fd_mean,0.0978585062955204,sub-054_task-training_run-04_bold,mm
fd_mean,0.1008076178314382,sub-054_task-training_run-05_bold,mm
fd_mean,0.1485330648212312,sub-056_task-baseline_run-01_bold,mm
fd_mean,0.169171071234386,sub-056_task-posttest_run-01_bold,mm
fd_mean,0.1791656340385664,sub-056_task-posttest_run-02_bold,mm
fd_mean,0.1483523279712524,sub-056_task-training_run-01_bold,mm
fd_mean,0.1707545657774379,sub-056_task-training_run-02_bold,mm
fd_mean,0.1699588564964791,sub-056_task-training_run-03_bold,mm
fd_mean,0.1444269372027284,sub-056_task-training_run-04_bold,mm
fd_mean,0.1870286670166961,sub-056_task-training_run-05_bold,mm
fd_mean,0.093039324604778,sub-057_task-baseline_run-01_bold,mm
fd_mean,0.087345710654849,sub-057_task-posttest_run-01_bold,mm
fd_mean,0.0901283795345076,sub-057_task-posttest_run-02_bold,mm
fd_mean,0.086265704686886,sub-057_task-training_run-01_bold,mm
fd_mean,0.0882867721845076,sub-057_task-training_run-02_bold,mm
fd_mean,0.0910044075292576,sub-057_task-training_run-03_bold,mm
fd_mean,0.0985168576142365,sub-057_task-training_run-04_bold,mm
fd_mean,0.0888112000639218,sub-057_task-training_run-05_bold,mm
fd_mean,0.0903024380749673,sub-058_task-baseline_run-01_bold,mm
fd_mean,0.1424533319572233,sub-058_task-posttest_run-01_bold,mm
fd_mean,0.1300105104774356,sub-058_task-posttest_run-02_bold,mm
fd_mean,0.1266585683768119,sub-058_task-training_run-01_bold,mm
fd_mean,0.1585677506068283,sub-058_task-training_run-02_bold,mm
fd_mean,0.139543559724507,sub-058_task-training_run-03_bold,mm
fd_mean,0.1342226271625367,sub-058_task-training_run-04_bold,mm
fd_mean,0.1626485913792089,sub-058_task-training_run-05_bold,mm
fd_mean,0.0945299221830567,sub-059_task-baseline_run-01_bold,mm
fd_mean,0.1020153264445068,sub-059_task-posttest_run-01_bold,mm
fd_mean,0.0983412080829589,sub-059_task-posttest_run-02_bold,mm
fd_mean,0.0899771779431057,sub-059_task-training_run-01_bold,mm
fd_mean,0.0953220423561224,sub-059_task-training_run-02_bold,mm
fd_mean,0.0956886011628919,sub-059_task-training_run-03_bold,mm
fd_mean,0.0910464295022628,sub-059_task-training_run-04_bold,mm
fd_mean,0.0996534642058108,sub-059_task-training_run-05_bold,mm
fd_mean,0.0950334318266051,sub-060_task-baseline_run-01_bold,mm
fd_mean,0.1027035268756916,sub-060_task-posttest_run-01_bold,mm
fd_mean,0.101992730337664,sub-060_task-posttest_run-02_bold,mm
fd_mean,0.1032815047731117,sub-060_task-training_run-01_bold,mm
fd_mean,0.1016764406383628,sub-060_task-training_run-02_bold,mm
fd_mean,0.0983447213325174,sub-060_task-training_run-03_bold,mm
fd_mean,0.1151926432112955,sub-060_task-training_run-04_bold,mm
fd_mean,0.1089261187212753,sub-060_task-training_run-05_bold,mm
</pre>
<div class="chart-wrapper" id="chart-group8"></div>
<pre class="csvdata" id="data-csv8" style="display: none">
iqm,value,label,units
fd_num,3,sub-001_task-baseline_run-01_bold,# timepoints
fd_num,37,sub-001_task-posttest_run-01_bold,# timepoints
fd_num,49,sub-001_task-posttest_run-02_bold,# timepoints
fd_num,2,sub-001_task-training_run-01_bold,# timepoints
fd_num,5,sub-001_task-training_run-02_bold,# timepoints
fd_num,6,sub-001_task-training_run-03_bold,# timepoints
fd_num,18,sub-001_task-training_run-04_bold,# timepoints
fd_num,8,sub-001_task-training_run-05_bold,# timepoints
fd_num,17,sub-002_task-baseline_run-01_bold,# timepoints
fd_num,73,sub-002_task-posttest_run-01_bold,# timepoints
fd_num,44,sub-002_task-posttest_run-02_bold,# timepoints
fd_num,25,sub-002_task-training_run-01_bold,# timepoints
fd_num,21,sub-002_task-training_run-02_bold,# timepoints
fd_num,52,sub-002_task-training_run-03_bold,# timepoints
fd_num,20,sub-002_task-training_run-04_bold,# timepoints
fd_num,26,sub-002_task-training_run-05_bold,# timepoints
fd_num,2,sub-003_task-baseline_run-01_bold,# timepoints
fd_num,35,sub-003_task-posttest_run-01_bold,# timepoints
fd_num,46,sub-003_task-posttest_run-02_bold,# timepoints
fd_num,5,sub-003_task-training_run-01_bold,# timepoints
fd_num,15,sub-003_task-training_run-02_bold,# timepoints
fd_num,29,sub-003_task-training_run-03_bold,# timepoints
fd_num,17,sub-003_task-training_run-04_bold,# timepoints
fd_num,9,sub-003_task-training_run-05_bold,# timepoints
fd_num,191,sub-004_task-baseline_run-01_bold,# timepoints
fd_num,157,sub-004_task-posttest_run-01_bold,# timepoints
fd_num,153,sub-004_task-posttest_run-02_bold,# timepoints
fd_num,132,sub-004_task-training_run-01_bold,# timepoints
fd_num,140,sub-004_task-training_run-02_bold,# timepoints
fd_num,128,sub-004_task-training_run-03_bold,# timepoints
fd_num,114,sub-004_task-training_run-04_bold,# timepoints
fd_num,128,sub-004_task-training_run-05_bold,# timepoints
fd_num,4,sub-005_task-baseline_run-01_bold,# timepoints
fd_num,22,sub-005_task-posttest_run-01_bold,# timepoints
fd_num,15,sub-005_task-posttest_run-02_bold,# timepoints
fd_num,8,sub-005_task-training_run-01_bold,# timepoints
fd_num,17,sub-005_task-training_run-02_bold,# timepoints
fd_num,7,sub-005_task-training_run-03_bold,# timepoints
fd_num,14,sub-005_task-training_run-04_bold,# timepoints
fd_num,9,sub-005_task-training_run-05_bold,# timepoints
fd_num,2,sub-006_task-baseline_run-01_bold,# timepoints
fd_num,69,sub-006_task-posttest_run-01_bold,# timepoints
fd_num,99,sub-006_task-posttest_run-02_bold,# timepoints
fd_num,17,sub-006_task-training_run-01_bold,# timepoints
fd_num,5,sub-006_task-training_run-02_bold,# timepoints
fd_num,5,sub-006_task-training_run-03_bold,# timepoints
fd_num,26,sub-006_task-training_run-04_bold,# timepoints
fd_num,42,sub-006_task-training_run-05_bold,# timepoints
fd_num,178,sub-007_task-baseline_run-01_bold,# timepoints
fd_num,159,sub-007_task-posttest_run-01_bold,# timepoints
fd_num,142,sub-007_task-posttest_run-02_bold,# timepoints
fd_num,178,sub-007_task-training_run-01_bold,# timepoints
fd_num,167,sub-007_task-training_run-02_bold,# timepoints
fd_num,153,sub-007_task-training_run-03_bold,# timepoints
fd_num,157,sub-007_task-training_run-04_bold,# timepoints
fd_num,145,sub-007_task-training_run-05_bold,# timepoints
fd_num,40,sub-008_task-baseline_run-01_bold,# timepoints
fd_num,43,sub-008_task-posttest_run-01_bold,# timepoints
fd_num,51,sub-008_task-posttest_run-02_bold,# timepoints
fd_num,94,sub-008_task-training_run-01_bold,# timepoints
fd_num,78,sub-008_task-training_run-02_bold,# timepoints
fd_num,42,sub-008_task-training_run-03_bold,# timepoints
fd_num,30,sub-008_task-training_run-04_bold,# timepoints
fd_num,23,sub-008_task-training_run-05_bold,# timepoints
fd_num,6,sub-009_task-baseline_run-01_bold,# timepoints
fd_num,27,sub-009_task-posttest_run-01_bold,# timepoints
fd_num,98,sub-009_task-posttest_run-02_bold,# timepoints
fd_num,4,sub-009_task-training_run-01_bold,# timepoints
fd_num,2,sub-009_task-training_run-02_bold,# timepoints
fd_num,15,sub-009_task-training_run-03_bold,# timepoints
fd_num,15,sub-009_task-training_run-04_bold,# timepoints
fd_num,15,sub-009_task-training_run-05_bold,# timepoints
fd_num,20,sub-010_task-baseline_run-01_bold,# timepoints
fd_num,23,sub-010_task-posttest_run-01_bold,# timepoints
fd_num,16,sub-010_task-posttest_run-02_bold,# timepoints
fd_num,27,sub-010_task-training_run-01_bold,# timepoints
fd_num,4,sub-010_task-training_run-02_bold,# timepoints
fd_num,15,sub-010_task-training_run-03_bold,# timepoints
fd_num,6,sub-010_task-training_run-04_bold,# timepoints
fd_num,0,sub-010_task-training_run-05_bold,# timepoints
fd_num,1,sub-011_task-baseline_run-01_bold,# timepoints
fd_num,9,sub-011_task-posttest_run-01_bold,# timepoints
fd_num,7,sub-011_task-posttest_run-02_bold,# timepoints
fd_num,11,sub-011_task-training_run-01_bold,# timepoints
fd_num,24,sub-011_task-training_run-02_bold,# timepoints
fd_num,4,sub-011_task-training_run-03_bold,# timepoints
fd_num,4,sub-011_task-training_run-04_bold,# timepoints
fd_num,3,sub-011_task-training_run-05_bold,# timepoints
fd_num,6,sub-012_task-baseline_run-01_bold,# timepoints
fd_num,15,sub-012_task-posttest_run-01_bold,# timepoints
fd_num,7,sub-012_task-posttest_run-02_bold,# timepoints
fd_num,20,sub-012_task-training_run-01_bold,# timepoints
fd_num,13,sub-012_task-training_run-02_bold,# timepoints
fd_num,17,sub-012_task-training_run-03_bold,# timepoints
fd_num,13,sub-012_task-training_run-04_bold,# timepoints
fd_num,12,sub-012_task-training_run-05_bold,# timepoints
fd_num,67,sub-013_task-baseline_run-01_bold,# timepoints
fd_num,58,sub-013_task-posttest_run-01_bold,# timepoints
fd_num,116,sub-013_task-posttest_run-02_bold,# timepoints
fd_num,51,sub-013_task-training_run-01_bold,# timepoints
fd_num,85,sub-013_task-training_run-02_bold,# timepoints
fd_num,34,sub-013_task-training_run-03_bold,# timepoints
fd_num,21,sub-013_task-training_run-04_bold,# timepoints
fd_num,33,sub-013_task-training_run-05_bold,# timepoints
fd_num,130,sub-014_task-baseline_run-01_bold,# timepoints
fd_num,123,sub-014_task-posttest_run-01_bold,# timepoints
fd_num,133,sub-014_task-posttest_run-02_bold,# timepoints
fd_num,126,sub-014_task-training_run-01_bold,# timepoints
fd_num,85,sub-014_task-training_run-02_bold,# timepoints
fd_num,81,sub-014_task-training_run-03_bold,# timepoints
fd_num,122,sub-014_task-training_run-04_bold,# timepoints
fd_num,59,sub-014_task-training_run-05_bold,# timepoints
fd_num,9,sub-015_task-baseline_run-01_bold,# timepoints
fd_num,19,sub-015_task-posttest_run-01_bold,# timepoints
fd_num,5,sub-015_task-posttest_run-02_bold,# timepoints
fd_num,15,sub-015_task-training_run-01_bold,# timepoints
fd_num,12,sub-015_task-training_run-02_bold,# timepoints
fd_num,11,sub-015_task-training_run-03_bold,# timepoints
fd_num,8,sub-015_task-training_run-04_bold,# timepoints
fd_num,10,sub-015_task-training_run-05_bold,# timepoints
fd_num,23,sub-016_task-baseline_run-01_bold,# timepoints
fd_num,42,sub-016_task-posttest_run-01_bold,# timepoints
fd_num,56,sub-016_task-posttest_run-02_bold,# timepoints
fd_num,18,sub-016_task-training_run-01_bold,# timepoints
fd_num,30,sub-016_task-training_run-02_bold,# timepoints
fd_num,7,sub-016_task-training_run-03_bold,# timepoints
fd_num,24,sub-016_task-training_run-04_bold,# timepoints
fd_num,61,sub-016_task-training_run-05_bold,# timepoints
fd_num,6,sub-017_task-baseline_run-01_bold,# timepoints
fd_num,30,sub-017_task-posttest_run-01_bold,# timepoints
fd_num,61,sub-017_task-posttest_run-02_bold,# timepoints
fd_num,7,sub-017_task-training_run-01_bold,# timepoints
fd_num,167,sub-017_task-training_run-02_bold,# timepoints
fd_num,212,sub-017_task-training_run-03_bold,# timepoints
fd_num,124,sub-017_task-training_run-04_bold,# timepoints
fd_num,16,sub-017_task-training_run-05_bold,# timepoints
fd_num,34,sub-018_task-baseline_run-01_bold,# timepoints
fd_num,139,sub-018_task-posttest_run-01_bold,# timepoints
fd_num,138,sub-018_task-posttest_run-02_bold,# timepoints
fd_num,74,sub-018_task-training_run-01_bold,# timepoints
fd_num,20,sub-018_task-training_run-02_bold,# timepoints
fd_num,30,sub-018_task-training_run-03_bold,# timepoints
fd_num,53,sub-018_task-training_run-04_bold,# timepoints
fd_num,60,sub-018_task-training_run-05_bold,# timepoints
fd_num,69,sub-019_task-baseline_run-01_bold,# timepoints
fd_num,107,sub-019_task-posttest_run-01_bold,# timepoints
fd_num,101,sub-019_task-posttest_run-02_bold,# timepoints
fd_num,105,sub-019_task-training_run-01_bold,# timepoints
fd_num,114,sub-019_task-training_run-02_bold,# timepoints
fd_num,71,sub-019_task-training_run-03_bold,# timepoints
fd_num,67,sub-019_task-training_run-04_bold,# timepoints
fd_num,68,sub-019_task-training_run-05_bold,# timepoints
fd_num,3,sub-020_task-baseline_run-01_bold,# timepoints
fd_num,25,sub-020_task-posttest_run-01_bold,# timepoints
fd_num,24,sub-020_task-posttest_run-02_bold,# timepoints
fd_num,2,sub-020_task-training_run-01_bold,# timepoints
fd_num,0,sub-020_task-training_run-02_bold,# timepoints
fd_num,0,sub-020_task-training_run-03_bold,# timepoints
fd_num,2,sub-020_task-training_run-04_bold,# timepoints
fd_num,1,sub-020_task-training_run-05_bold,# timepoints
fd_num,92,sub-021_task-baseline_run-01_bold,# timepoints
fd_num,57,sub-021_task-posttest_run-01_bold,# timepoints
fd_num,61,sub-021_task-posttest_run-02_bold,# timepoints
fd_num,56,sub-021_task-training_run-01_bold,# timepoints
fd_num,14,sub-021_task-training_run-02_bold,# timepoints
fd_num,46,sub-021_task-training_run-03_bold,# timepoints
fd_num,39,sub-021_task-training_run-04_bold,# timepoints
fd_num,37,sub-021_task-training_run-05_bold,# timepoints
fd_num,0,sub-022_task-baseline_run-01_bold,# timepoints
fd_num,2,sub-022_task-posttest_run-01_bold,# timepoints
fd_num,1,sub-022_task-posttest_run-02_bold,# timepoints
fd_num,0,sub-022_task-training_run-01_bold,# timepoints
fd_num,1,sub-022_task-training_run-02_bold,# timepoints
fd_num,0,sub-022_task-training_run-03_bold,# timepoints
fd_num,0,sub-022_task-training_run-04_bold,# timepoints
fd_num,1,sub-022_task-training_run-05_bold,# timepoints
fd_num,6,sub-023_task-baseline_run-01_bold,# timepoints
fd_num,12,sub-023_task-posttest_run-01_bold,# timepoints
fd_num,18,sub-023_task-posttest_run-02_bold,# timepoints
fd_num,14,sub-023_task-training_run-01_bold,# timepoints
fd_num,11,sub-023_task-training_run-02_bold,# timepoints
fd_num,6,sub-023_task-training_run-03_bold,# timepoints
fd_num,16,sub-023_task-training_run-04_bold,# timepoints
fd_num,16,sub-023_task-training_run-05_bold,# timepoints
fd_num,2,sub-024_task-baseline_run-01_bold,# timepoints
fd_num,4,sub-024_task-posttest_run-01_bold,# timepoints
fd_num,48,sub-024_task-posttest_run-02_bold,# timepoints
fd_num,7,sub-024_task-training_run-01_bold,# timepoints
fd_num,0,sub-024_task-training_run-02_bold,# timepoints
fd_num,7,sub-024_task-training_run-03_bold,# timepoints
fd_num,1,sub-024_task-training_run-04_bold,# timepoints
fd_num,0,sub-024_task-training_run-05_bold,# timepoints
fd_num,62,sub-025_task-baseline_run-01_bold,# timepoints
fd_num,39,sub-025_task-posttest_run-01_bold,# timepoints
fd_num,118,sub-025_task-posttest_run-02_bold,# timepoints
fd_num,83,sub-025_task-training_run-01_bold,# timepoints
fd_num,89,sub-025_task-training_run-02_bold,# timepoints
fd_num,27,sub-025_task-training_run-03_bold,# timepoints
fd_num,35,sub-025_task-training_run-04_bold,# timepoints
fd_num,84,sub-025_task-training_run-05_bold,# timepoints
fd_num,2,sub-026_task-baseline_run-01_bold,# timepoints
fd_num,2,sub-026_task-posttest_run-01_bold,# timepoints
fd_num,0,sub-026_task-posttest_run-02_bold,# timepoints
fd_num,0,sub-026_task-training_run-01_bold,# timepoints
fd_num,2,sub-026_task-training_run-02_bold,# timepoints
fd_num,1,sub-026_task-training_run-03_bold,# timepoints
fd_num,0,sub-026_task-training_run-04_bold,# timepoints
fd_num,1,sub-026_task-training_run-05_bold,# timepoints
fd_num,10,sub-027_task-baseline_run-01_bold,# timepoints
fd_num,17,sub-027_task-posttest_run-01_bold,# timepoints
fd_num,48,sub-027_task-posttest_run-02_bold,# timepoints
fd_num,7,sub-027_task-training_run-01_bold,# timepoints
fd_num,8,sub-027_task-training_run-02_bold,# timepoints
fd_num,13,sub-027_task-training_run-03_bold,# timepoints
fd_num,45,sub-027_task-training_run-04_bold,# timepoints
fd_num,25,sub-027_task-training_run-05_bold,# timepoints
fd_num,39,sub-028_task-baseline_run-01_bold,# timepoints
fd_num,46,sub-028_task-posttest_run-01_bold,# timepoints
fd_num,61,sub-028_task-posttest_run-02_bold,# timepoints
fd_num,29,sub-028_task-training_run-01_bold,# timepoints
fd_num,15,sub-028_task-training_run-02_bold,# timepoints
fd_num,17,sub-028_task-training_run-03_bold,# timepoints
fd_num,28,sub-028_task-training_run-04_bold,# timepoints
fd_num,38,sub-028_task-training_run-05_bold,# timepoints
fd_num,35,sub-029_task-baseline_run-01_bold,# timepoints
fd_num,80,sub-029_task-posttest_run-01_bold,# timepoints
fd_num,103,sub-029_task-posttest_run-02_bold,# timepoints
fd_num,13,sub-029_task-training_run-01_bold,# timepoints
fd_num,23,sub-029_task-training_run-02_bold,# timepoints
fd_num,55,sub-029_task-training_run-03_bold,# timepoints
fd_num,58,sub-029_task-training_run-04_bold,# timepoints
fd_num,13,sub-029_task-training_run-05_bold,# timepoints
fd_num,24,sub-030_task-baseline_run-01_bold,# timepoints
fd_num,78,sub-030_task-posttest_run-01_bold,# timepoints
fd_num,45,sub-030_task-posttest_run-02_bold,# timepoints
fd_num,59,sub-030_task-training_run-01_bold,# timepoints
fd_num,36,sub-030_task-training_run-02_bold,# timepoints
fd_num,43,sub-030_task-training_run-03_bold,# timepoints
fd_num,41,sub-030_task-training_run-04_bold,# timepoints
fd_num,53,sub-030_task-training_run-05_bold,# timepoints
fd_num,17,sub-031_task-baseline_run-01_bold,# timepoints
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fd_num,18,sub-031_task-training_run-01_bold,# timepoints
fd_num,7,sub-031_task-training_run-02_bold,# timepoints
fd_num,17,sub-031_task-training_run-03_bold,# timepoints
fd_num,20,sub-031_task-training_run-04_bold,# timepoints
fd_num,14,sub-031_task-training_run-05_bold,# timepoints
fd_num,0,sub-032_task-baseline_run-01_bold,# timepoints
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fd_num,1,sub-032_task-posttest_run-02_bold,# timepoints
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fd_num,0,sub-032_task-training_run-04_bold,# timepoints
fd_num,3,sub-032_task-training_run-05_bold,# timepoints
fd_num,2,sub-033_task-baseline_run-01_bold,# timepoints
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fd_num,45,sub-033_task-posttest_run-02_bold,# timepoints
fd_num,5,sub-033_task-training_run-01_bold,# timepoints
fd_num,2,sub-033_task-training_run-02_bold,# timepoints
fd_num,3,sub-033_task-training_run-03_bold,# timepoints
fd_num,17,sub-033_task-training_run-04_bold,# timepoints
fd_num,4,sub-033_task-training_run-05_bold,# timepoints
fd_num,49,sub-034_task-baseline_run-01_bold,# timepoints
fd_num,78,sub-034_task-posttest_run-01_bold,# timepoints
fd_num,26,sub-034_task-posttest_run-02_bold,# timepoints
fd_num,95,sub-034_task-training_run-01_bold,# timepoints
fd_num,109,sub-034_task-training_run-02_bold,# timepoints
fd_num,56,sub-034_task-training_run-03_bold,# timepoints
fd_num,26,sub-034_task-training_run-04_bold,# timepoints
fd_num,32,sub-034_task-training_run-05_bold,# timepoints
fd_num,12,sub-035_task-baseline_run-01_bold,# timepoints
fd_num,18,sub-035_task-posttest_run-01_bold,# timepoints
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fd_num,1,sub-036_task-baseline_run-01_bold,# timepoints
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fd_num,12,sub-036_task-training_run-01_bold,# timepoints
fd_num,10,sub-036_task-training_run-02_bold,# timepoints
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fd_num,21,sub-037_task-baseline_run-01_bold,# timepoints
fd_num,2,sub-037_task-posttest_run-01_bold,# timepoints
fd_num,28,sub-037_task-posttest_run-02_bold,# timepoints
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fd_num,11,sub-039_task-baseline_run-01_bold,# timepoints
fd_num,25,sub-039_task-posttest_run-01_bold,# timepoints
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fd_num,3,sub-060_task-training_run-02_bold,# timepoints
fd_num,0,sub-060_task-training_run-03_bold,# timepoints
fd_num,3,sub-060_task-training_run-04_bold,# timepoints
fd_num,2,sub-060_task-training_run-05_bold,# timepoints
</pre>
<div class="chart-wrapper" id="chart-group9"></div>
<pre class="csvdata" id="data-csv9" style="display: none">
iqm,value,label,units
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fd_perc,19.571865443425075,sub-058_task-training_run-02_bold,% timepoints
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fd_perc,1.524390243902439,sub-059_task-training_run-02_bold,% timepoints
fd_perc,0.303951367781155,sub-059_task-training_run-03_bold,% timepoints
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fd_perc,0.5571030640668524,sub-060_task-posttest_run-01_bold,% timepoints
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fd_perc,0.6097560975609756,sub-060_task-training_run-01_bold,% timepoints
fd_perc,0.9146341463414634,sub-060_task-training_run-02_bold,% timepoints
fd_perc,0.0,sub-060_task-training_run-03_bold,% timepoints
fd_perc,0.9174311926605504,sub-060_task-training_run-04_bold,% timepoints
fd_perc,0.6116207951070336,sub-060_task-training_run-05_bold,% timepoints
</pre>
<div class="chart-wrapper" id="chart-group10"></div>
<pre class="csvdata" id="data-csv10" style="display: none">
iqm,value,label,units
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dummy_trs,0,sub-021_task-training_run-04_bold,# TRs
dummy_trs,0,sub-021_task-training_run-05_bold,# TRs
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</pre>
<div class="chart-wrapper" id="chart-group11"></div>
<pre class="csvdata" id="data-csv11" style="display: none">
iqm,value,label,units
gcor,0.00377812,sub-001_task-baseline_run-01_bold,
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gcor,0.00439003,sub-001_task-training_run-01_bold,
gcor,0.00392998,sub-001_task-training_run-02_bold,
gcor,0.00398389,sub-001_task-training_run-03_bold,
gcor,0.00444713,sub-001_task-training_run-04_bold,
gcor,0.00406292,sub-001_task-training_run-05_bold,
gcor,0.00784332,sub-002_task-baseline_run-01_bold,
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gcor,0.00719296,sub-002_task-training_run-01_bold,
gcor,0.00527609,sub-002_task-training_run-02_bold,
gcor,0.00419211,sub-002_task-training_run-03_bold,
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</pre>
<div class="chart-wrapper" id="chart-group12"></div>
<pre class="csvdata" id="data-csv12" style="display: none">
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</pre>
<div class="chart-wrapper" id="chart-group13"></div>
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</pre>
<div class="chart-wrapper" id="chart-group14"></div>
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</pre>
<div class="chart-wrapper" id="chart-group15"></div>
<pre class="csvdata" id="data-csv15" style="display: none">
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summary_bg_p95,2662.0,sub-060_task-training_run-05_bold,
</pre>
<div class="chart-wrapper" id="chart-group16"></div>
<pre class="csvdata" id="data-csv16" style="display: none">
iqm,value,label,units
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</pre>


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