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-rw-r--r--wqflask/wqflask/correlation/corr_scatter_plot.py15
-rw-r--r--wqflask/wqflask/marker_regression/gemma_mapping.py12
-rw-r--r--wqflask/wqflask/static/new/css/corr_scatter_plot2.css5
-rw-r--r--wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2.js118
-rw-r--r--wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2_sr.js137
-rw-r--r--wqflask/wqflask/templates/corr_scatterplot.html310
6 files changed, 469 insertions, 128 deletions
diff --git a/wqflask/wqflask/correlation/corr_scatter_plot.py b/wqflask/wqflask/correlation/corr_scatter_plot.py
index 6a92c501..a08cd759 100644
--- a/wqflask/wqflask/correlation/corr_scatter_plot.py
+++ b/wqflask/wqflask/correlation/corr_scatter_plot.py
@@ -67,9 +67,17 @@ class CorrScatterPlot(object):
x = np.array(vals_1)
y = np.array(vals_2)
slope, intercept, r_value, p_value, std_err = stats.linregress(x, y)
+
+ rx = stats.rankdata(x)
+ ry = stats.rankdata(y)
+ self.rdata = []
+ self.rdata.append(rx.tolist())
+ self.rdata.append(ry.tolist())
+ srslope, srintercept, srr_value, srp_value, srstd_err = stats.linregress(rx, ry)
self.js_data = dict(
data = self.data,
+ rdata = self.rdata,
indIDs = self.indIDs,
trait_1 = self.trait_1.dataset.name + ": " + str(self.trait_1.name),
trait_2 = self.trait_2.dataset.name + ": " + str(self.trait_2.name),
@@ -78,10 +86,17 @@ class CorrScatterPlot(object):
num_overlap = num_overlap,
vals_1 = vals_1,
vals_2 = vals_2,
+
slope = slope,
intercept = intercept,
r_value = r_value,
p_value = p_value,
+
+ srslope = srslope,
+ srintercept = srintercept,
+ srr_value = srr_value,
+ srp_value = srp_value,
+
width = width,
height = height,
circle_color = circle_color,
diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py
index bfcf0ffb..a24e43d4 100644
--- a/wqflask/wqflask/marker_regression/gemma_mapping.py
+++ b/wqflask/wqflask/marker_regression/gemma_mapping.py
@@ -49,17 +49,19 @@ def run_gemma(this_dataset, samples, vals, covariates, method, use_loco):
else:
if use_loco == "True":
k_output_filename = this_dataset.group.name + "_K_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6))
- generate_k_command = GEMMA_WRAPPER_COMMAND + ' --json --loco ' + chr_list_string + ' -- -g %s/%s_geno.txt -p %s/%s_pheno.txt -a %s/%s_snps.txt -gk -debug > /home/zas1024/tmp/gn2/%s.json' % (flat_files('genotype/bimbam'),
+ generate_k_command = GEMMA_WRAPPER_COMMAND + ' --json --loco ' + chr_list_string + ' -- -g %s/%s_geno.txt -p %s/%s_pheno.txt -a %s/%s_snps.txt -gk -debug > %s/gn2/%s.json' % (flat_files('genotype/bimbam'),
genofile_name,
flat_files('genotype/bimbam'),
genofile_name,
flat_files('genotype/bimbam'),
genofile_name,
+ TEMPDIR,
k_output_filename)
logger.debug("k_command:" + generate_k_command)
os.system(generate_k_command)
- gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --loco --input /home/zas1024/tmp/gn2/%s.json -- -g %s/%s_geno.txt -p %s/%s_pheno.txt' % (k_output_filename,
+ gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --loco --input %s/gn2/%s.json -- -g %s/%s_geno.txt -p %s/%s_pheno.txt' % (TEMPDIR,
+ k_output_filename,
flat_files('genotype/bimbam'),
genofile_name,
flat_files('genotype/bimbam'),
@@ -67,14 +69,16 @@ def run_gemma(this_dataset, samples, vals, covariates, method, use_loco):
gwa_output_filename = this_dataset.group.name + "_GWA_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6))
if covariates != "":
- gemma_command += ' -c %s/%s_covariates.txt -a %s/%s_snps.txt -lmm 1 -maf 0.1 -debug > /home/zas1024/tmp/gn2/%s.json' % (flat_files('mapping'),
+ gemma_command += ' -c %s/%s_covariates.txt -a %s/%s_snps.txt -lmm 1 -maf 0.1 -debug > %s/gn2/%s.json' % (flat_files('mapping'),
this_dataset.group.name,
flat_files('genotype/bimbam'),
genofile_name,
+ TEMPDIR,
gwa_output_filename)
else:
- gemma_command += ' -a %s/%s_snps.txt -lmm 1 -maf 0.1 -debug > /home/zas1024/tmp/gn2/%s.json' % (flat_files('genotype/bimbam'),
+ gemma_command += ' -a %s/%s_snps.txt -lmm 1 -maf 0.1 -debug > %s/gn2/%s.json' % (flat_files('genotype/bimbam'),
genofile_name,
+ TEMPDIR,
gwa_output_filename)
else:
diff --git a/wqflask/wqflask/static/new/css/corr_scatter_plot2.css b/wqflask/wqflask/static/new/css/corr_scatter_plot2.css
index 5aa9b9bf..a2ebb252 100644
--- a/wqflask/wqflask/static/new/css/corr_scatter_plot2.css
+++ b/wqflask/wqflask/static/new/css/corr_scatter_plot2.css
@@ -7,7 +7,7 @@
.nvd3 .nv-axis.nv-y text {
font-size: 16px;
font-weight: normal;
- fill:black;
+ fill: black;
}
.nv-x .nv-axis g path.domain {
@@ -29,7 +29,8 @@
}
line.nv-regLine {
- stroke: red !important;
+ stroke: red;
+ stroke-width: 1;
}
.nv-axisMin-x,
diff --git a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2.js b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2.js
index 96763aca..43ac6086 100644
--- a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2.js
+++ b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2.js
@@ -1,13 +1,14 @@
var chart;
-nv.addGraph(function() {
+function drawg () {
//
chart = nv.models.scatterChart();
//
chart.showLegend(false);
chart.duration(300);
chart.color(d3.scale.category10().range());
- chart.pointRange([200,0]);
+ chart.pointRange([0, 400]);
+ chart.pointDomain([0, 10]);
//
chart.xAxis.axisLabel(js_data.trait_1);
chart.xAxis.axisLabelDistance(11);
@@ -26,15 +27,12 @@ nv.addGraph(function() {
chart.yAxis.tickFormat(d3.format(checkformat(yrange)));
//
chart.tooltip.contentGenerator(function (obj) {
- return '<b style="font-size: 18px">(' + obj.point.x + ', ' + obj.point.y + ')</b>';
+ // return '<b style="font-size: 18px">(' + obj.point.x + ', ' + obj.point.y + ')</b>';
+ return '<b style="font-size: 18px">' + obj.point.name + '</b>';
});
- //
- d3.select('#scatterplot2 svg').datum(nv.log(getdata())).call(chart);
- nv.utils.windowResize(chart.update);
- return chart;
-});
+}
-function getdata () {
+function getdata(size, shape) {
var data = [];
data.push({
values: [],
@@ -45,14 +43,15 @@ function getdata () {
data[0].values.push({
x: js_data.data[0][j],
y: js_data.data[1][j],
- size: 10,
- shape: 'circle'
+ name: js_data.indIDs[j],
+ size: size,
+ shape: shape
});
}
return data;
}
-function checkformat (range) {
+function checkformat(range) {
cell = range / 10.0;
if (cell >= 1) {
return ",r";
@@ -62,3 +61,98 @@ function checkformat (range) {
return ",.0" + n + "f";
}
}
+
+function chartupdate() {
+ //
+ var axisxcolor = $("#axisxcolor").val();
+ $(".nvd3 .nv-axis.nv-x text").css("fill", axisxcolor);
+ //
+ var axisycolor = $("#axisycolor").val();
+ $(".nvd3 .nv-axis.nv-y text").css("fill", axisycolor);
+ //
+ var axisxfont = $("#axisxfont").val();
+ $(".nvd3 .nv-axis.nv-x text").css("font-size", axisxfont);
+ //
+ var axisyfont = $("#axisyfont").val();
+ $(".nvd3 .nv-axis.nv-y text").css("font-size", axisyfont);
+ //
+ var domainxcolor = $("#domainxcolor").val();
+ $(".nv-x .nv-axis g path.domain").css("stroke", domainxcolor);
+ //
+ var domainycolor = $("#domainycolor").val();
+ $(".nv-y .nv-axis g path.domain").css("stroke", domainycolor);
+ //
+ var domainxwidth = $("#domainxwidth").val();
+ $(".nv-x .nv-axis g path.domain").css("stroke-width", domainxwidth);
+ //
+ var domainywidth = $("#domainywidth").val();
+ $(".nv-y .nv-axis g path.domain").css("stroke-width", domainywidth);
+ //
+ var clinecolor = $("#clinecolor").val();
+ $("line.nv-regLine").css("stroke", clinecolor);
+ //
+ var clinewidth = $("#clinewidth").val();
+ $("line.nv-regLine").css("stroke-width", clinewidth);
+ //
+ var axiscolor = $("#axiscolor").val();
+ $(".tick").css("stroke", axiscolor);
+ //
+ var axiswidth = $("#axiswidth").val();
+ $("line.nv-regLine").css("stroke-width", axiswidth);
+}
+
+function chartupdatewh() {
+ //
+ var width = $("#width").val();
+ $("#scatterplot2 svg").css("width", width);
+ //
+ var height = $("#height").val();
+ $("#scatterplot2 svg").css("height", height);
+ //
+ window.dispatchEvent(new Event('resize'));
+}
+
+function chartupdatedata() {
+ //
+ var size = $("#marksize").val();
+ var shape = $("#markshape").val();
+ //
+ d3.select('#scatterplot2 svg').datum(nv.log(getdata(size, shape))).call(chart);
+ nv.utils.windowResize(chart.update);
+}
+
+function savesvg(svgEl, name) {
+ svgEl.setAttribute("xmlns", "http://www.w3.org/2000/svg");
+ var svgData = svgEl.outerHTML;
+ var preface = '<?xml version="1.0" standalone="no"?>\r\n';
+ preface += '<?xml-stylesheet type="text/css" href="http://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.5/nv.d3.min.css"?>\r\n';
+ var svgBlob = new Blob([preface, svgData], {type:"image/svg+xml;charset=utf-8"});
+ var svgUrl = URL.createObjectURL(svgBlob);
+ var downloadLink = document.createElement("a");
+ downloadLink.href = svgUrl;
+ downloadLink.download = name;
+ document.body.appendChild(downloadLink);
+ downloadLink.click();
+ document.body.removeChild(downloadLink);
+}
+
+function saveassvg_pcs() {
+ savesvg($("#svg_pcs")[0], "Pearson Correlation Scatterplot.svg");
+}
+
+drawg();
+chartupdate();
+chartupdatewh();
+chartupdatedata();
+
+$(".chartupdate").change(function () {
+ chartupdate();
+});
+
+$(".chartupdatewh").change(function () {
+ chartupdatewh();
+});
+
+$(".chartupdatedata").change(function () {
+ chartupdatedata();
+});
diff --git a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2_sr.js b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2_sr.js
new file mode 100644
index 00000000..d0392dd7
--- /dev/null
+++ b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot-2_sr.js
@@ -0,0 +1,137 @@
+var srchart;
+
+function srdrawg () {
+ //
+ srchart = nv.models.scatterChart();
+ //
+ srchart.showLegend(false);
+ srchart.duration(300);
+ srchart.color(d3.scale.category10().range());
+ srchart.pointRange([0, 400]);
+ srchart.pointDomain([0, 10]);
+ //
+ srchart.xAxis.axisLabel(js_data.trait_1);
+ srchart.xAxis.axisLabelDistance(11);
+ srchart.yAxis.axisLabel(js_data.trait_2);
+ srchart.yAxis.axisLabelDistance(11);
+ //
+ xmin = d3.min(js_data.rdata[0]);
+ xmax = d3.max(js_data.rdata[0]);
+ xrange = xmax - xmin;
+ ymin = d3.min(js_data.rdata[1]);
+ ymax = d3.max(js_data.rdata[1]);
+ yrange = ymax - ymin;
+ srchart.xDomain([0, xmax + xrange/10]);
+ srchart.yDomain([0, ymax + yrange/10]);
+ srchart.xAxis.tickFormat(d3.format(srcheckformat(xrange)));
+ srchart.yAxis.tickFormat(d3.format(srcheckformat(yrange)));
+ //
+ srchart.tooltip.contentGenerator(function (obj) {
+ // return '<b style="font-size: 18px">(' + obj.point.x + ', ' + obj.point.y + ')</b>';
+ return '<b style="font-size: 18px">' + obj.point.name + '</b>';
+ });
+}
+
+function srgetdata(size, shape) {
+ var data = [];
+ data.push({
+ values: [],
+ slope: js_data.srslope,
+ intercept: js_data.srintercept
+ });
+ for (j = 0; j < js_data.rdata[0].length; j++) {
+ data[0].values.push({
+ x: js_data.rdata[0][j],
+ y: js_data.rdata[1][j],
+ name: js_data.indIDs[j],
+ size: size,
+ shape: shape
+ });
+ }
+ return data;
+}
+
+function srcheckformat(range) {
+ cell = range / 10.0;
+ if (cell >= 1) {
+ return ",r";
+ } else {
+ cell = -Math.log(cell);
+ n = cell.toString().split(".")[0].length;
+ return ",.0" + n + "f";
+ }
+}
+
+function srchartupdate() {
+ //
+ var axisxcolor = $("#axisxcolor").val();
+ $(".nvd3 .nv-axis.nv-x text").css("fill", axisxcolor);
+ //
+ var axisycolor = $("#axisycolor").val();
+ $(".nvd3 .nv-axis.nv-y text").css("fill", axisycolor);
+ //
+ var axisxfont = $("#axisxfont").val();
+ $(".nvd3 .nv-axis.nv-x text").css("font-size", axisxfont);
+ //
+ var axisyfont = $("#axisyfont").val();
+ $(".nvd3 .nv-axis.nv-y text").css("font-size", axisyfont);
+ //
+ var domainxcolor = $("#domainxcolor").val();
+ $(".nv-x .nv-axis g path.domain").css("stroke", domainxcolor);
+ //
+ var domainycolor = $("#domainycolor").val();
+ $(".nv-y .nv-axis g path.domain").css("stroke", domainycolor);
+ //
+ var domainxwidth = $("#domainxwidth").val();
+ $(".nv-x .nv-axis g path.domain").css("stroke-width", domainxwidth);
+ //
+ var domainywidth = $("#domainywidth").val();
+ $(".nv-y .nv-axis g path.domain").css("stroke-width", domainywidth);
+ //
+ var clinecolor = $("#clinecolor").val();
+ $("line.nv-regLine").css("stroke", clinecolor);
+ //
+ var clinewidth = $("#clinewidth").val();
+ $("line.nv-regLine").css("stroke-width", clinewidth);
+}
+
+function srchartupdatewh() {
+ //
+ var width = $("#srwidth").val();
+ $("#srscatterplot2 svg").css("width", width);
+ //
+ var height = $("#srheight").val();
+ $("#srscatterplot2 svg").css("height", height);
+ //
+ window.dispatchEvent(new Event('resize'));
+}
+
+function srchartupdatedata() {
+ //
+ var size = $("#srmarksize").val();
+ var shape = $("#srmarkshape").val();
+ //
+ d3.select('#srscatterplot2 svg').datum(nv.log(srgetdata(size, shape))).call(srchart);
+ nv.utils.windowResize(srchart.update);
+}
+
+function saveassvg_srcs() {
+ savesvg($("#svg_srcs")[0], "Spearman Rank Correlation Scatterplot.svg");
+}
+
+srdrawg();
+srchartupdate();
+srchartupdatewh();
+srchartupdatedata();
+
+$(".srchartupdate").change(function () {
+ srchartupdate();
+});
+
+$(".srchartupdatewh").change(function () {
+ srchartupdatewh();
+});
+
+$(".srchartupdatedata").change(function () {
+ srchartupdatedata();
+});
diff --git a/wqflask/wqflask/templates/corr_scatterplot.html b/wqflask/wqflask/templates/corr_scatterplot.html
index 605f557c..fb2bd55c 100644
--- a/wqflask/wqflask/templates/corr_scatterplot.html
+++ b/wqflask/wqflask/templates/corr_scatterplot.html
@@ -12,114 +12,12 @@
{% endblock %}
{% block content %}
-<!--<form action="" method="get">
-<input type="hidden" name="dataset_1" value="{{data_set_1.name}}">
-<input type="hidden" name="dataset_2" value="{{data_set_2.name}}">
-<input type="hidden" name="trait_1" value="{{trait_1.name}}">
-<input type="hidden" name="trait_2" value="{{trait_2.name}}">
-<table class="table" style="width: auto;">
- <tr>
- <td>Canvas Width</td>
- <td>Canvas Height</td>
- <td>Circle Color</td>
- <td>Circle Radius</td>
- <td>Line Color</td>
- <td>Line Width</td>
- <td rowspan="2" style="vertical-align:middle;"><button type="submit" class="btn btn-primary"><i class="icon-refresh"></i>Redraw</button></td>
- </tr>
- <tr>
- <td><input type="text" name="width" value="{{width}}" style="width: 100px;"></td>
- <td><input type="text" name="height" value="{{height}}" style="width: 100px;"></td>
- <td>
- <select name="circle_color" style="width: 100px;">
- <option value="red">Red</option>
- <option value="green">Green</option>
- <option value="blue">Blue</option>
- </select>
- </td>
- <td><input type="text" name="circle_radius" value="{{circle_radius}}" style="width: 100px;"></td>
- <td>
- <select name="line_color" style="width: 100px;">
- <option value="red">Red</option>
- <option value="green">Green</option>
- <option value="blue">Blue</option>
- </select>
- </td>
- <td><input type="text" name="line_width" value="{{line_width}}" style="width: 100px;"></td>
- </tr>
-</table>
-</form>-->
+
<div class="container-fluid">
<h2>Correlation Scatterplot</h2>
-<!--
-<table class="table">
- <tr>
- <td>Correlation Line Width</td>
- <td><input type="text" name="lastname" value="2" style="width: 44px;"> px</td>
- </tr>
- <tr>
- <td>Correlation Line Color</td>
- <td><input type="color" name="favcolor" value="#000000"></td>
- </tr>
- <tr>
- <td>Dot Stroke</td>
- <td><input type="text" name="lastname" value="5" style="width: 44px;"> px</td>
- </tr>
- <tr>
- <td>Dot Color</td>
- <td><input type="color" name="favcolor" value="#ff0000"></td>
- </tr>
-</table>
--->
-
-<div id="scatterplot2">
- <svg style="width: 1000px; height: 800px; margin-left: 10px;"></svg>
-</div>
-
-<br>
-
-<h2>Correlation Scatterplot</h2>
-
-<table class="table">
- <tbody>
- <tr><th class="text-right">num overlap</th> <td>{{jsdata.num_overlap}}</td></tr>
- <tr><th class="text-right">slope</th> <td>{{jsdata.slope}}</td></tr>
- <tr><th class="text-right">intercept</th> <td>{{jsdata.intercept}}</td></tr>
- <tr><th class="text-right">r value</th> <td>{{jsdata.r_value}}</td></tr>
- <tr><th class="text-right">p value</th> <td>{{jsdata.p_value}}</td></tr>
- </tbody>
-</table>
-
-<!--
-<table class="table">
- <tr>
- <td>Correlation Line Width</td>
- <td><input type="text" name="lastname" value="2" style="width: 44px;"> px</td>
- </tr>
- <tr>
- <td>Correlation Line Color</td>
- <td><input type="color" name="favcolor" value="#000000"></td>
- </tr>
- <tr>
- <td>Dot Stroke</td>
- <td><input type="text" name="lastname" value="5" style="width: 44px;"> px</td>
- </tr>
- <tr>
- <td>Dot Color</td>
- <td><input type="color" name="favcolor" value="#ff0000"></td>
- </tr>
-</table>
--->
-
-<div id="scatterplot2">
- <svg style="width: 1000px; height: 800px;"></svg>
-</div>
-
-<br>
-
-<div style="margin-left: 75px;">
+<div style="margin-left: 0px;">
{% if trait_1.dataset.type == "ProbeSet" %}
<div>
@@ -175,16 +73,207 @@
<br>
-<table class="table table-hover table-striped table-bordered" style="width: 250px; margin-left: 80px;">
+<table class="table">
+ <tr>
+
+ <td>Axis X Color</td>
+ <td><input class="chartupdate" id="axisxcolor" type="color" value="#000000"></td>
+
+ <td>Axis X Font</td>
+ <td><input class="chartupdate" id="axisxfont" type="text" value="16" style="width: 44px;"> px</td>
+
+ <td>Domain X Color</td>
+ <td><input class="chartupdate" id="domainxcolor" type="color" value="#000000"></td>
+
+ <td>Domain X Width</td>
+ <td><input class="chartupdate" id="domainxwidth" type="text" value="2" style="width: 44px;"> px</td>
+
+ <td>Correlation Line Color</td>
+ <td><input class="chartupdate" id="clinecolor" type="color" value="#000000"></td>
+
+ <td>Axis Line Color</td>
+ <td><input class="chartupdate" id="axiscolor" type="color" value="#000000"></td>
+
+ </tr>
+ <tr>
+
+ <td>Axis Y Color</td>
+ <td><input class="chartupdate" id="axisycolor" type="color" value="#000000"></td>
+
+ <td>Axis Y Font</td>
+ <td><input class="chartupdate" id="axisyfont" type="text" value="16" style="width: 44px;"> px</td>
+
+ <td>Domain Y Color</td>
+ <td><input class="chartupdate" id="domainycolor" type="color" value="#000000"></td>
+
+ <td>Domain Y Width</td>
+ <td><input class="chartupdate" id="domainywidth" type="text" value="2" style="width: 44px;"> px</td>
+
+ <td>Correlation Line Width</td>
+ <td><input class="chartupdate" id="clinewidth" type="text" value="1" style="width: 44px;"> px</td>
+
+ <td>Axis Line Width</td>
+ <td><input class="chartupdate" id="axiswidth" type="text" value="1" style="width: 44px;"> px</td>
+
+ </tr>
+</table>
+
+<br>
+
+<ul class="nav nav-tabs">
+ <li class="active"><a href="#tp1" data-toggle="tab">Pearson</a></li>
+ <li> <a href="#tp2" data-toggle="tab">Spearman Rank</a></li>
+</ul>
+
+<div class="tab-content">
+ <div class="tab-pane active" id="tp1">
+
+<br>
+<table class="table">
+ <tr>
+
+ <td>Width</td>
+ <td><input class="chartupdatewh" id="width" type="text" value="1000" style="width: 44px;"> px</td>
+
+ <td>Height</td>
+ <td><input class="chartupdatewh" id="height" type="text" value="800" style="width: 44px;"> px</td>
+
+ <td>Size</td>
+ <td>
+ <select class="chartupdatedata" id="marksize" style="width: 100px;">
+ <option value="0">0</option>
+ <option value="1">1</option>
+ <option value="2">2</option>
+ <option value="3">3</option>
+ <option value="4">4</option>
+ <option value="5" selected>5</option>
+ <option value="6">6</option>
+ <option value="7">7</option>
+ <option value="8">8</option>
+ <option value="9">9</option>
+ <option value="10">10</option>
+ </select>
+ </td>
+
+ <td>Shape</td>
+ <td>
+ <select class="chartupdatedata" id="markshape" style="width: 100px;">
+ <option value="circle" selected>Circle</option>
+ <option value="cross">Cross</option>
+ <option value="triangle-up">Triangle-up</option>
+ <option value="triangle-down">Triangle-down</option>
+ <option value="diamond">Diamond</option>
+ <option value="square">Square</option>
+ </select>
+ </td>
+
+ </tr>
+</table>
+
+<div><a id="a_svg_pcs" href="#" onclick="javascript:saveassvg_pcs();" class="btn btn-primary">Save as SVG</a></div>
+
+<div style="width: 1000px; text-align: center;"><h2>Pearson Correlation Scatterplot</h2></div>
+
+<div id="scatterplot2">
+ <svg id="svg_pcs" style="width: 1000px; height: 800px; margin-left: 10px;"></svg>
+</div>
+
+<br>
+
+<div class="alert alert-info" style="width: 200px; margin-left: 80px;">
+ y = {{'%0.3f' % jsdata.slope}} * x + {{'%0.3f' % jsdata.intercept}}
+</div>
+
+<br>
+
+<table class="table table-hover table-striped table-bordered" style="width: 200px; margin-left: 80px; text-align: right;">
+ <thead>
+ <tr><th style="text-align: right;">Statistic</th><th style="text-align: right;">Value</th></tr>
+ </thead>
<tbody>
- <tr><th>Number</th> <td>{{jsdata.num_overlap}}</td></tr>
- <tr><th>Slope</th> <td>{{'%0.3f' % jsdata.slope}}</td></tr>
- <tr><th>Intercept</th> <td>{{'%0.3f' % jsdata.intercept}}</td></tr>
- <tr><th>R value</th> <td>{{'%0.3f' % jsdata.r_value}}</td></tr>
- <tr><th>P value</th> <td>{{'%0.3e' % jsdata.p_value}}</td></tr>
+ <tr><td>Number</td> <td>{{jsdata.num_overlap}}</td></tr>
+ <tr><td>Slope</td> <td>{{'%0.3f' % jsdata.slope}}</td></tr>
+ <tr><td>Intercept</td> <td>{{'%0.3f' % jsdata.intercept}}</td></tr>
+ <tr><td>r value</td> <td>{{'%0.3f' % jsdata.r_value}}</td></tr>
+ <tr><td>P value</td> <td>{% if jsdata.p_value < 0.001 %}{{'%0.3e' % jsdata.p_value}}{% else %}{{'%0.3f' % jsdata.p_value}}{% endif %}</td></tr>
</tbody>
</table>
+ </div>
+
+ <div class="tab-pane" id="tp2">
+
+<br>
+<table class="table">
+ <tr>
+
+ <td>Width</td>
+ <td><input class="srchartupdatewh" id="srwidth" type="text" value="1000" style="width: 44px;"> px</td>
+
+ <td>Height</td>
+ <td><input class="srchartupdatewh" id="srheight" type="text" value="800" style="width: 44px;"> px</td>
+
+ <td>Size</td>
+ <td>
+ <select class="srchartupdatedata" id="srmarksize" style="width: 100px;">
+ <option value="0">0</option>
+ <option value="1">1</option>
+ <option value="2">2</option>
+ <option value="3">3</option>
+ <option value="4">4</option>
+ <option value="5" selected>5</option>
+ <option value="6">6</option>
+ <option value="7">7</option>
+ <option value="8">8</option>
+ <option value="9">9</option>
+ <option value="10">10</option>
+ </select>
+ </td>
+
+ <td>Shape</td>
+ <td>
+ <select class="srchartupdatedata" id="srmarkshape" style="width: 100px;">
+ <option value="circle" selected>Circle</option>
+ <option value="cross">Cross</option>
+ <option value="triangle-up">Triangle-up</option>
+ <option value="triangle-down">Triangle-down</option>
+ <option value="diamond">Diamond</option>
+ <option value="square">Square</option>
+ </select>
+ </td>
+
+ </tr>
+</table>
+
+<div><a id="a_svg_srcs" href="#" onclick="javascript:saveassvg_srcs();" class="btn btn-primary">Save as SVG</a></div>
+
+<div style="width: 1000px; text-align: center;"><h2>Spearman Rank Correlation Scatterplot</h2></div>
+
+<div id="srscatterplot2">
+ <svg id="svg_srcs" style="width: 1000px; height: 800px; margin-left: 10px;"></svg>
+</div>
+
+<br>
+
+<table class="table table-hover table-striped table-bordered" style="width: 200px; margin-left: 80px; text-align: right;">
+ <thead>
+ <tr><th style="text-align: right;">Statistic</th><th style="text-align: right;">Value</th></tr>
+ </thead>
+ <tbody>
+ <tr><td>Number</td> <td>{{jsdata.num_overlap}}</td></tr>
+ <tr><td>Slope</td> <td>{{'%0.3f' % jsdata.srslope}}</td></tr>
+ <tr><td>Intercept</td> <td>{{'%0.3f' % jsdata.srintercept}}</td></tr>
+ <tr><td>r value</td> <td>{{'%0.3f' % jsdata.srr_value}}</td></tr>
+ <tr><td>P value</td> <td>{% if jsdata.srp_value < 0.001 %}{{'%0.3e' % jsdata.srp_value}}{% else %}{{'%0.3f' % jsdata.srp_value}}{% endif %}</td></tr>
+ </tbody>
+</table>
+
+ </div>
+
+</div>
+
+</div>
+
{% endblock %}
{% block js %}
@@ -198,4 +287,5 @@
<script language="javascript" type="text/javascript" src="/static/new/javascript/colorbrewer.js"></script>
<script language="javascript" type="text/javascript" src="/static/new/javascript/panelutil.js"></script>
<script language="javascript" type="text/javascript" src="/static/new/javascript/draw_corr_scatterplot-2.js"></script>
+ <script language="javascript" type="text/javascript" src="/static/new/javascript/draw_corr_scatterplot-2_sr.js"></script>
{% endblock %}