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-rw-r--r--wqflask/wqflask/static/new/javascript/show_trait.js584
1 files changed, 292 insertions, 292 deletions
diff --git a/wqflask/wqflask/static/new/javascript/show_trait.js b/wqflask/wqflask/static/new/javascript/show_trait.js
index 6b81b47e..1b79e261 100644
--- a/wqflask/wqflask/static/new/javascript/show_trait.js
+++ b/wqflask/wqflask/static/new/javascript/show_trait.js
@@ -1,12 +1,12 @@
-var Stat_Table_Rows, is_number,
+var statTableRows, isNumber,
__hasProp = {}.hasOwnProperty,
__slice = [].slice;
-is_number = function(o) {
+isNumber = function(o) {
return !isNaN((o - 0) && o !== null);
};
-Stat_Table_Rows = [
+statTableRows = [
{
vn: "n_of_samples",
pretty: "N of Samples",
@@ -40,27 +40,27 @@ Stat_Table_Rows = [
if (js_data.dataset_type == "ProbeSet"){
if (js_data.data_scale == "linear_positive" || js_data.data_scale == "log2") {
- Stat_Table_Rows.push({
+ statTableRows.push({
vn: "range",
pretty: "Range (log2)",
digits: 3
})
} else {
- Stat_Table_Rows.push({
+ statTableRows.push({
vn: "range",
pretty: "Range",
digits: 3
})
}
} else {
- Stat_Table_Rows.push({
+ statTableRows.push({
vn: "range",
pretty: "Range",
digits: 3
})
}
-Stat_Table_Rows.push(
+statTableRows.push(
{
vn: "range_fold",
pretty: "Range (fold)",
@@ -83,7 +83,7 @@ Stat_Table_Rows.push(
}
);
-var add, block_by_attribute_value, block_by_index, block_outliers, change_stats_value, create_value_dropdown, edit_data_change, export_sample_table_data, get_sample_table_data, hide_no_value, hide_tabs, make_table, on_corr_method_change, open_trait_selection, populate_sample_attributes_values_dropdown, process_id, update_bar_chart, update_histogram, update_prob_plot, reset_samples_table, sample_group_types, sample_lists, show_hide_outliers, stats_mdp_change, update_stat_values;
+var add, blockByAttributeValue, blockByIndex, blockOutliers, changeStatsValue, createValueDropdown, editDataChange, exportSampleTableData, getSampleTableData, hideNoValue, hideTabs, makeTable, onCorrMethodChange, openTraitSelection, populateSampleAttributesValuesDropdown, processId, updateBarChart, updateHistogram, updateProbPlot, resetSamplesTable, sampleGroupTypes, sampleLists, showHideOutliers, statsMdpChange, updateStatValues;
add = function() {
var trait;
trait = $("input[name=trait_hmac]").val();
@@ -92,11 +92,11 @@ add = function() {
});
};
$('#add_to_collection').click(add);
-sample_lists = js_data.sample_lists;
-sample_group_types = js_data.sample_group_types;
+sampleLists = js_data.sample_lists;
+sampleGroupTypes = js_data.sample_group_types;
$(".select_covariates").click(function () {
- open_covariate_selection();
+ openCovariateSelection();
});
$(".remove_covariates").click(function () {
@@ -146,7 +146,7 @@ $(".remove_all_covariates").click(function() {
$("input[name=covariates]").val("");
})
-open_trait_selection = function() {
+openTraitSelection = function() {
return $('#collections_holder').load('/collections/list?color_by_trait #collections_list', (function(_this) {
return function() {
$.colorbox({
@@ -160,7 +160,7 @@ open_trait_selection = function() {
};
})(this));
};
-open_covariate_selection = function() {
+openCovariateSelection = function() {
return $('#collections_holder').load('/collections/list #collections_list', (function(_this) {
return function() {
$.colorbox({
@@ -176,7 +176,7 @@ open_covariate_selection = function() {
};
})(this));
};
-hide_tabs = function(start) {
+hideTabs = function(start) {
var x, _i, _results;
_results = [];
for (x = _i = start; start <= 10 ? _i <= 10 : _i >= 10; x = start <= 10 ? ++_i : --_i) {
@@ -184,15 +184,15 @@ hide_tabs = function(start) {
}
return _results;
};
-stats_mdp_change = function() {
+statsMdpChange = function() {
var selected;
selected = $(this).val();
- hide_tabs(0);
+ hideTabs(0);
return $("#stats_tabs" + selected).show();
};
-change_stats_value = function(sample_sets, category, value_type, decimal_places, effects) {
+changeStatsValue = function(sample_sets, category, value_type, decimal_places, effects) {
var current_value, id, in_box, the_value, title_value;
- id = "#" + process_id(category, value_type);
+ id = "#" + processId(category, value_type);
in_box = $(id).html;
current_value = parseFloat($(in_box)).toFixed(decimal_places);
the_value = sample_sets[category][value_type]();
@@ -213,7 +213,7 @@ change_stats_value = function(sample_sets, category, value_type, decimal_places,
return $(id).attr('title', title_value);
}
};
-update_stat_values = function(sample_sets) {
+updateStatValues = function(sample_sets) {
var category, row, show_effects, _i, _len, _ref, _results;
show_effects = $(".tab-pane.active").attr("id") === "stats_tab";
_ref = ['samples_primary', 'samples_other', 'samples_all'];
@@ -223,9 +223,9 @@ update_stat_values = function(sample_sets) {
_results.push((function() {
var _j, _len1, _results1;
_results1 = [];
- for (_j = 0, _len1 = Stat_Table_Rows.length; _j < _len1; _j++) {
- row = Stat_Table_Rows[_j];
- _results1.push(change_stats_value(sample_sets, category, row.vn, row.digits, show_effects));
+ for (_j = 0, _len1 = statTableRows.length; _j < _len1; _j++) {
+ row = statTableRows[_j];
+ _results1.push(changeStatsValue(sample_sets, category, row.vn, row.digits, show_effects));
}
return _results1;
})());
@@ -233,7 +233,7 @@ update_stat_values = function(sample_sets) {
return _results;
};
-update_histogram_width = function() {
+updateHistogram_width = function() {
num_bins = $('#histogram').find('g.trace.bars').find('g.point').length
if (num_bins < 10) {
@@ -245,7 +245,7 @@ update_histogram_width = function() {
}
}
-update_histogram = function() {
+updateHistogram = function() {
var x;
var _i, _len, _ref, data;
_ref = _.values(root.selected_samples[root.stats_group]);
@@ -263,10 +263,10 @@ update_histogram = function() {
}
Plotly.newPlot('histogram', root.histogram_data, root.histogram_layout, root.modebar_options);
- update_histogram_width()
+ updateHistogram_width()
};
-update_bar_chart = function() {
+updateBarChart = function() {
var x;
var _i, _len, _ref, data;
_ref = _.values(root.selected_samples[root.stats_group]);
@@ -302,7 +302,7 @@ update_bar_chart = function() {
}
}
- new_chart_range = get_bar_range(trait_vals, trait_vars)
+ new_chart_range = getBarRange(trait_vals, trait_vars)
root.bar_layout['yaxis']['range'] = new_chart_range
@@ -327,7 +327,7 @@ update_bar_chart = function() {
update_box_plot = function() {
var y_value_list = []
- if (sample_lists.length > 1) {
+ if (sampleLists.length > 1) {
i = 0;
for (var sample_group in root.selected_samples){
var trait_sample_data = _.values(root.selected_samples[sample_group])
@@ -358,9 +358,9 @@ update_box_plot = function() {
Plotly.newPlot('box_plot', root.box_data, root.box_layout, root.modebar_options)
}
-update_violin_plot = function() {
+updateViolinPlot = function() {
var y_value_list = []
- if (sample_lists.length > 1) {
+ if (sampleLists.length > 1) {
i = 0;
for (var sample_group in root.selected_samples){
var trait_sample_data = _.values(root.selected_samples[sample_group])
@@ -392,11 +392,11 @@ update_violin_plot = function() {
}
-update_prob_plot = function() {
+updateProbPlot = function() {
return root.redraw_prob_plot_impl(root.selected_samples, root.prob_plot_group);
};
-make_table = function() {
+makeTable = function() {
var header, key, row, row_line, table, the_id, the_rows, value, _i, _len, _ref, _ref1;
if (js_data.trait_symbol != null) {
header = "<thead><tr><th style=\"color: white; background-color: #369; text-align: center;\" colspan=\"100%\">Trait " + js_data.trait_id + " - " + js_data.trait_symbol + "</th></tr><tr><th style=\"text-align: right; padding-left: 5px;\">Statistic</th>";
@@ -409,7 +409,7 @@ make_table = function() {
for (key in _ref) {
if (!__hasProp.call(_ref, key)) continue;
value = _ref[key];
- the_id = process_id("column", key);
+ the_id = processId("column", key);
if (Object.keys(_ref).length > 1) {
header += "<th id=\"" + the_id + "\" style=\"text-align: right; padding-left: 5px;\">" + value + "</th>";
} else {
@@ -419,8 +419,8 @@ make_table = function() {
header += "</thead>";
the_rows = "<tbody>";
- for (_i = 0, _len = Stat_Table_Rows.length; _i < _len; _i++) {
- row = Stat_Table_Rows[_i];
+ for (_i = 0, _len = statTableRows.length; _i < _len; _i++) {
+ row = statTableRows[_i];
if ((row.vn == "range_fold") && js_data.dataset_type == "Publish"){
continue;
}
@@ -434,7 +434,7 @@ make_table = function() {
for (key in _ref1) {
if (!__hasProp.call(_ref1, key)) continue;
value = _ref1[key];
- the_id = process_id(key, row.vn);
+ the_id = processId(key, row.vn);
row_line += "<td id=\"" + the_id + "\" align=\"right\">N/A</td>";
}
row_line += "</tr>";
@@ -444,7 +444,7 @@ make_table = function() {
table = header + the_rows;
return $("#stats_table").append(table);
};
-process_id = function() {
+processId = function() {
var processed, value, values, _i, _len;
values = 1 <= arguments.length ? __slice.call(arguments, 0) : [];
@@ -461,14 +461,14 @@ process_id = function() {
return processed;
};
-fetch_sample_values = function() {
+fetchSampleValues = function() {
// This is meant to fetch all sample values using DataTables API, since they can't all be submitted with the form when using Scroller (and this should also be faster)
sample_val_dict = {};
table = 'samples_primary';
if ($('#' + table).length){
- table_api = $('#' + table).DataTable();
- val_nodes = table_api.column(3).nodes().to$();
+ tableApi = $('#' + table).DataTable();
+ val_nodes = tableApi.column(3).nodes().to$();
for (_j = 0; _j < val_nodes.length; _j++){
sample_name = val_nodes[_j].childNodes[0].name.split(":")[1]
sample_val = val_nodes[_j].childNodes[0].value
@@ -479,7 +479,7 @@ fetch_sample_values = function() {
return sample_val_dict;
}
-edit_data_change = function() {
+editDataChange = function() {
var already_seen, checkbox, name, real_dict, real_value, real_variance, row, rows, sample_sets, table, tables, _i, _j, _len, _len1;
already_seen = {};
sample_sets = {
@@ -497,20 +497,20 @@ edit_data_change = function() {
for (_i = 0, _len = tables.length; _i < _len; _i++) {
table = tables[_i];
if ($('#' + table).length){
- table_api = $('#' + table).DataTable();
+ tableApi = $('#' + table).DataTable();
sample_vals = [];
- name_nodes = table_api.column(2).nodes().to$();
- val_nodes = table_api.column(3).nodes().to$();
- var_nodes = table_api.column(5).nodes().to$();
+ name_nodes = tableApi.column(2).nodes().to$();
+ val_nodes = tableApi.column(3).nodes().to$();
+ var_nodes = tableApi.column(5).nodes().to$();
for (_j = 0; _j < val_nodes.length; _j++){
sample_val = val_nodes[_j].childNodes[0].value
sample_name = $.trim(name_nodes[_j].childNodes[0].textContent)
- if (is_number(sample_val) && sample_val !== "") {
+ if (isNumber(sample_val) && sample_val !== "") {
sample_val = parseFloat(sample_val);
sample_sets[table].add_value(sample_val);
try {
sample_var = var_nodes[_j].childNodes[0].value
- if (is_number(sample_var)) {
+ if (isNumber(sample_var)) {
sample_var = parseFloat(sample_var)
} else {
sample_var = null;
@@ -534,37 +534,37 @@ edit_data_change = function() {
}
- update_stat_values(sample_sets);
+ updateStatValues(sample_sets);
if ($('#histogram').hasClass('js-plotly-plot')){
- update_histogram();
+ updateHistogram();
}
if ($('#bar_chart').hasClass('js-plotly-plot')){
- update_bar_chart();
+ updateBarChart();
}
if ($('#box_plot').hasClass('js-plotly-plot')){
update_box_plot();
}
if ($('#violin_plot').hasClass('js-plotly-plot')){
- update_violin_plot();
+ updateViolinPlot();
}
if ($('#prob_plot_div').hasClass('js-plotly-plot')){
- return update_prob_plot();
+ return updateProbPlot();
}
};
-show_hide_outliers = function() {
+showHideOutliers = function() {
var label;
- label = $('#show_hide_outliers').val();
+ label = $('#showHideOutliers').val();
if (label === "Hide Outliers") {
- return $('#show_hide_outliers').val("Show Outliers");
+ return $('#showHideOutliers').val("Show Outliers");
} else if (label === "Show Outliers") {
- $('#show_hide_outliers').val("Hide Outliers");
+ $('#showHideOutliers').val("Hide Outliers");
return console.log("Should be now Hide Outliers");
}
};
-on_corr_method_change = function() {
+onCorrMethodChange = function() {
var corr_method;
corr_method = $('select[name=corr_type]').val();
$('.correlation_desc').hide();
@@ -575,7 +575,7 @@ on_corr_method_change = function() {
return $("#corr_sample_method").show();
}
};
-$('select[name=corr_type]').change(on_corr_method_change);
+$('select[name=corr_type]').change(onCorrMethodChange);
on_dataset_change = function() {
let dataset_type = $('select[name=corr_dataset] option:selected').data('type');
@@ -601,38 +601,38 @@ $('select[name=corr_dataset]').change(on_dataset_change);
$('select[name=location_type]').change(on_dataset_change);
submit_special = function(url) {
- $("input[name=sample_vals]").val(JSON.stringify(fetch_sample_values()))
+ $("input[name=sample_vals]").val(JSON.stringify(fetchSampleValues()))
$("#trait_data_form").attr("action", url);
$("#trait_data_form").submit();
};
-get_table_contents_for_form_submit = function(form_id) {
- // Borrowed code from - https://stackoverflow.com/questions/31418047/how-to-post-data-for-the-whole-table-using-jquery-datatables
- let this_form = $("#" + form_id);
- var params = primary_table.$('input').serializeArray();
-
- $.each(params, function(){
- // If element doesn't exist in DOM
- if(!$.contains(document, this_form[this.name])){
- // Create a hidden element
- this_form.append(
- $('<input>')
- .attr('type', 'hidden')
- .attr('name', this.name)
- .val(this.value)
- );
- }
- });
-}
-
-var corr_input_list = ['sample_vals', 'corr_type', 'primary_samples', 'trait_id', 'dataset', 'group', 'tool_used', 'form_url', 'corr_sample_method', 'corr_samples_group', 'corr_dataset', 'min_expr',
+// getTableContentsForFormSubmit = function(form_id) {
+// // Borrowed code from - https://stackoverflow.com/questions/31418047/how-to-post-data-for-the-whole-table-using-jquery-datatables
+// let this_form = $("#" + form_id);
+// var params = primary_table.$('input').serializeArray();
+
+// $.each(params, function(){
+// // If element doesn't exist in DOM
+// if(!$.contains(document, this_form[this.name])){
+// // Create a hidden element
+// this_form.append(
+// $('<input>')
+// .attr('type', 'hidden')
+// .attr('name', this.name)
+// .val(this.value)
+// );
+// }
+// });
+// }
+
+var corrInputList = ['sample_vals', 'corr_type', 'primary_samples', 'trait_id', 'dataset', 'group', 'tool_used', 'form_url', 'corr_sample_method', 'corr_samples_group', 'corr_dataset', 'min_expr',
'corr_return_results', 'location_type', 'loc_chr', 'min_loc_mb', 'max_loc_mb', 'p_range_lower', 'p_range_upper']
$(".test_corr_compute").on("click", (function(_this) {
return function() {
$('input[name=tool_used]').val("Correlation");
$('input[name=form_url]').val("/test_corr_compute");
- $('input[name=wanted_inputs]').val(corr_input_list.join(","));
+ $('input[name=wanted_inputs]').val(corrInputList.join(","));
url = "/loading";
return submit_special(url);
};
@@ -642,17 +642,17 @@ $(".corr_compute").on("click", (function(_this) {
return function() {
$('input[name=tool_used]').val("Correlation");
$('input[name=form_url]').val("/corr_compute");
- $('input[name=wanted_inputs]').val(corr_input_list.join(","));
+ $('input[name=wanted_inputs]').val(corrInputList.join(","));
url = "/loading";
return submit_special(url);
};
})(this));
-create_value_dropdown = function(value) {
+createValueDropdown = function(value) {
return "<option val=" + value + ">" + value + "</option>";
};
-populate_sample_attributes_values_dropdown = function() {
+populateSampleAttributesValuesDropdown = function() {
var attribute_info, key, sample_attributes, selected_attribute, value, _i, _len, _ref, _ref1, _results;
$('#attribute_values').empty();
sample_attributes = [];
@@ -682,33 +682,33 @@ populate_sample_attributes_values_dropdown = function() {
for (_i = 0, _len = _ref1.length; _i < _len; _i++) {
value = _ref1[_i];
if (value != ""){
- _results.push($(create_value_dropdown(value)).appendTo($('#attribute_values')));
+ _results.push($(createValueDropdown(value)).appendTo($('#attribute_values')));
}
}
return _results;
};
if (js_data.categorical_attr_exists == "true"){
- populate_sample_attributes_values_dropdown();
+ populateSampleAttributesValuesDropdown();
}
-$('#exclude_column').change(populate_sample_attributes_values_dropdown);
-block_by_attribute_value = function() {
+$('#exclude_column').change(populateSampleAttributesValuesDropdown);
+blockByAttributeValue = function() {
var attribute_name, cell_class, exclude_by_value;
let exclude_group = $('#exclude_by_attr_group').val();
let exclude_column = $('#exclude_column').val();
if (exclude_group === "other") {
- var table_api = $('#samples_other').DataTable();
+ var tableApi = $('#samples_other').DataTable();
} else {
- var table_api = $('#samples_primary').DataTable();
+ var tableApi = $('#samples_primary').DataTable();
}
exclude_by_value = $('#attribute_values').val();
- let val_nodes = table_api.column(3).nodes().to$();
- let exclude_val_nodes = table_api.column(attribute_start_pos + parseInt(exclude_column)).nodes().to$();
+ let val_nodes = tableApi.column(3).nodes().to$();
+ let exclude_val_nodes = tableApi.column(attributeStartPos + parseInt(exclude_column)).nodes().to$();
for (i = 0; i < exclude_val_nodes.length; i++) {
if (exclude_val_nodes[i].hasChildNodes()) {
@@ -721,11 +721,11 @@ block_by_attribute_value = function() {
}
}
- edit_data_change();
+ editDataChange();
};
-$('#exclude_by_attr').click(block_by_attribute_value);
+$('#exclude_by_attr').click(blockByAttributeValue);
-block_by_index = function() {
+blockByIndex = function() {
var end_index, error, index, index_list, index_set, index_string, start_index, _i, _j, _k, _len, _len1, _ref;
index_string = $('#remove_samples_field').val();
index_list = [];
@@ -751,11 +751,11 @@ block_by_index = function() {
let block_group = $('#block_group').val();
if (block_group === "other") {
- table_api = $('#samples_other').DataTable();
+ tableApi = $('#samples_other').DataTable();
} else {
- table_api = $('#samples_primary').DataTable();
+ tableApi = $('#samples_primary').DataTable();
}
- val_nodes = table_api.column(3).nodes().to$();
+ val_nodes = tableApi.column(3).nodes().to$();
for (_k = 0, _len1 = index_list.length; _k < _len1; _k++) {
index = index_list[_k];
val_nodes[index - 1].childNodes[0].value = "x";
@@ -771,14 +771,14 @@ filter_by_study = function() {
if ($('#filter_study_group').length){
let block_group = $('#filter_study_group').val();
if (block_group === "other") {
- table_api = $('#samples_other').DataTable();
+ tableApi = $('#samples_other').DataTable();
} else {
- table_api = $('#samples_primary').DataTable();
+ tableApi = $('#samples_primary').DataTable();
}
}
- let sample_nodes = table_api.column(2).nodes().to$();
- let val_nodes = table_api.column(3).nodes().to$();
+ let sample_nodes = tableApi.column(2).nodes().to$();
+ let val_nodes = tableApi.column(3).nodes().to$();
for (i = 0; i < sample_nodes.length; i++) {
this_sample = sample_nodes[i].childNodes[0].innerText;
if (!filter_samples.includes(this_sample)){
@@ -794,20 +794,20 @@ filter_by_value = function() {
let block_group = $('#filter_group').val();
if (block_group === "other") {
- var table_api = $('#samples_other').DataTable();
+ var tableApi = $('#samples_other').DataTable();
} else {
- var table_api = $('#samples_primary').DataTable();
+ var tableApi = $('#samples_primary').DataTable();
}
- let val_nodes = table_api.column(3).nodes().to$();
+ let val_nodes = tableApi.column(3).nodes().to$();
if (filter_column == "value"){
- var filter_val_nodes = table_api.column(3).nodes().to$();
+ var filter_val_nodes = tableApi.column(3).nodes().to$();
}
else if (filter_column == "stderr"){
- var filter_val_nodes = table_api.column(5).nodes().to$();
+ var filter_val_nodes = tableApi.column(5).nodes().to$();
}
else if (!isNaN(filter_column)){
- var filter_val_nodes = table_api.column(attribute_start_pos + parseInt(filter_column)).nodes().to$();
+ var filter_val_nodes = tableApi.column(attributeStartPos + parseInt(filter_column)).nodes().to$();
}
else {
return false
@@ -850,8 +850,8 @@ filter_by_value = function() {
}
};
-hide_no_value_filter = function( settings, data, dataIndex ) {
- this_value = table_api.column(3).nodes().to$()[dataIndex].childNodes[0].value;
+hideNoValue_filter = function( settings, data, dataIndex ) {
+ this_value = tableApi.column(3).nodes().to$()[dataIndex].childNodes[0].value;
if (this_value == "x"){
return false
} else {
@@ -859,77 +859,77 @@ hide_no_value_filter = function( settings, data, dataIndex ) {
}
}
-hide_no_value = function() {
+hideNoValue = function() {
tables = ['samples_primary', 'samples_other'];
filter_active = $(this).data("active");
for (_i = 0, _len = tables.length; _i < _len; _i++) {
table = tables[_i];
if ($('#' + table).length) {
- table_api = $('#' + table).DataTable();
+ tableApi = $('#' + table).DataTable();
if (filter_active == "true"){
$(this).val("Hide No Value")
- table_api.draw();
+ tableApi.draw();
$(this).data("active", "false");
} else {
$(this).val("Show No Value")
- $.fn.dataTable.ext.search.push(hide_no_value_filter);
- table_api.search();
- table_api.draw();
- $.fn.dataTable.ext.search.splice($.fn.dataTable.ext.search.indexOf(hide_no_value_filter, 1));
+ $.fn.dataTable.ext.search.push(hideNoValue_filter);
+ tableApi.search();
+ tableApi.draw();
+ $.fn.dataTable.ext.search.splice($.fn.dataTable.ext.search.indexOf(hideNoValue_filter, 1));
$(this).data("active", "true");
}
}
}
};
-$('#hide_no_value').click(hide_no_value);
+$('#hideNoValue').click(hideNoValue);
-block_outliers = function() {
+blockOutliers = function() {
return $('.outlier').each((function(_this) {
return function(_index, element) {
return $(element).find('.trait-value-input').val('x');
};
})(this));
};
-$('#block_outliers').click(block_outliers);
+$('#blockOutliers').click(blockOutliers);
-reset_samples_table = function() {
+resetSamplesTable = function() {
$('input[name="transform"]').val("");
$('span[name="transform_text"]').text("")
- $('#hide_no_value').val("Hide No Value")
+ $('#hideNoValue').val("Hide No Value")
tables = ['samples_primary', 'samples_other'];
for (_i = 0, _len = tables.length; _i < _len; _i++) {
table = tables[_i];
if ($('#' + table).length) {
- table_api = $('#' + table).DataTable();
- val_nodes = table_api.column(3).nodes().to$();
+ tableApi = $('#' + table).DataTable();
+ val_nodes = tableApi.column(3).nodes().to$();
for (i = 0; i < val_nodes.length; i++) {
this_node = val_nodes[i].childNodes[0];
this_node.value = this_node.attributes["data-value"].value;
}
if (js_data.se_exists){
- se_nodes = table_api.column(5).nodes().to$();
+ se_nodes = tableApi.column(5).nodes().to$();
for (i = 0; i < val_nodes.length; i++) {
this_node = val_nodes[i].childNodes[0];
this_node.value = this_node.attributes["data-value"].value;
}
}
- table_api.draw();
+ tableApi.draw();
}
}
};
$('.reset').click(function() {
- reset_samples_table();
+ resetSamplesTable();
$('input[name="transform"]').val("");
- edit_data_change();
+ editDataChange();
});
-check_for_zero_to_one_vals = function() {
+checkForZeroToOneVals = function() {
tables = ['samples_primary', 'samples_other'];
for (_i = 0, _len = tables.length; _i < _len; _i++) {
table = tables[_i];
if ($('#' + table).length) {
- table_api = $('#' + table).DataTable();
- val_nodes = table_api.column(3).nodes().to$();
+ tableApi = $('#' + table).DataTable();
+ val_nodes = tableApi.column(3).nodes().to$();
for (i = 0; i < val_nodes.length; i++) {
this_node = val_nodes[i].childNodes[0];
if(!isNaN(this_node.value)) {
@@ -943,47 +943,47 @@ check_for_zero_to_one_vals = function() {
return false
}
-log2_data = function(this_node) {
+log2Data = function(this_node) {
current_value = this_node.value;
original_value = this_node.attributes['data-value'].value;
if(!isNaN(current_value) && !isNaN(original_value)) {
- if (zero_to_one_vals_exist){
+ if (zeroToOneValsExist){
original_value = parseFloat(original_value) + 1;
}
this_node.value = Math.log2(original_value).toFixed(3);
}
};
-log10_data = function() {
+log10Data = function() {
current_value = this_node.value;
original_value = this_node.attributes['data-value'].value;
if(!isNaN(current_value) && !isNaN(original_value)) {
- if (zero_to_one_vals_exist){
+ if (zeroToOneValsExist){
original_value = parseFloat(original_value) + 1;
}
this_node.value = Math.log10(original_value).toFixed(3);
}
};
-sqrt_data = function() {
+sqrtData = function() {
current_value = this_node.value;
original_value = this_node.attributes['data-value'].value;
if(!isNaN(current_value) && !isNaN(original_value)) {
- if (zero_to_one_vals_exist){
+ if (zeroToOneValsExist){
original_value = parseFloat(original_value) + 1;
}
this_node.value = Math.sqrt(original_value).toFixed(3);
}
};
-invert_data = function() {
+invertData = function() {
current_value = this_node.value;
if(!isNaN(current_value)) {
this_node.value = parseFloat(-(current_value)).toFixed(3);
}
};
-qnorm_data = function() {
+qnormData = function() {
current_value = this_node.value;
qnorm_value = this_node.attributes['data-qnorm'].value;
if(!isNaN(current_value)) {
@@ -991,7 +991,7 @@ qnorm_data = function() {
}
};
-zscore_data = function() {
+zScoreData = function() {
current_value = this_node.value;
zscore_value = this_node.attributes['data-zscore'].value;
if(!isNaN(current_value)) {
@@ -999,47 +999,47 @@ zscore_data = function() {
}
};
-do_transform = function(transform_type) {
+doTransform = function(transform_type) {
tables = ['samples_primary', 'samples_other'];
for (_i = 0, _len = tables.length; _i < _len; _i++) {
table = tables[_i];
if ($('#' + table).length) {
- table_api = $('#' + table).DataTable();
- val_nodes = table_api.column(3).nodes().to$();
+ tableApi = $('#' + table).DataTable();
+ val_nodes = tableApi.column(3).nodes().to$();
for (i = 0; i < val_nodes.length; i++) {
this_node = val_nodes[i].childNodes[0]
if (transform_type == "log2"){
- log2_data(this_node)
+ log2Data(this_node)
}
if (transform_type == "log10"){
- log10_data(this_node)
+ log10Data(this_node)
}
if (transform_type == "sqrt"){
- sqrt_data(this_node)
+ sqrtData(this_node)
}
if (transform_type == "invert"){
- invert_data(this_node)
+ invertData(this_node)
}
if (transform_type == "qnorm"){
- qnorm_data(this_node)
+ qnormData(this_node)
}
if (transform_type == "zscore"){
- zscore_data(this_node)
+ zScoreData(this_node)
}
}
}
}
}
-normalize_data = function() {
+normalizeData = function() {
if ($('#norm_method option:selected').val() == 'log2' || $('#norm_method option:selected').val() == 'log10'){
if ($('input[name="transform"]').val() != "log2" && $('#norm_method option:selected').val() == 'log2') {
- do_transform("log2")
+ doTransform("log2")
$('input[name="transform"]').val("log2")
$('span[name="transform_text"]').text(" - log2 Transformed")
} else {
if ($('input[name="transform"]').val() != "log10" && $('#norm_method option:selected').val() == 'log10'){
- do_transform("log10")
+ doTransform("log10")
$('input[name="transform"]').val("log10")
$('span[name="transform_text"]').text(" - log10 Transformed")
}
@@ -1047,13 +1047,13 @@ normalize_data = function() {
}
else if ($('#norm_method option:selected').val() == 'sqrt'){
if ($('input[name="transform"]').val() != "sqrt") {
- do_transform("sqrt")
+ doTransform("sqrt")
$('input[name="transform"]').val("sqrt")
$('span[name="transform_text"]').text(" - Square Root Transformed")
}
}
else if ($('#norm_method option:selected').val() == 'invert'){
- do_transform("invert")
+ doTransform("invert")
$('input[name="transform"]').val("inverted")
if ($('span[name="transform_text"]:eq(0)').text() != ""){
current_text = $('span[name="transform_text"]:eq(0)').text();
@@ -1064,26 +1064,26 @@ normalize_data = function() {
}
else if ($('#norm_method option:selected').val() == 'qnorm'){
if ($('input[name="transform"]').val() != "qnorm") {
- do_transform("qnorm")
+ doTransform("qnorm")
$('input[name="transform"]').val("qnorm")
$('span[name="transform_text"]').text(" - Quantile Normalized")
}
}
else if ($('#norm_method option:selected').val() == 'zscore'){
if ($('input[name="transform"]').val() != "zscore") {
- do_transform("zscore")
+ doTransform("zscore")
$('input[name="transform"]').val("zscore")
$('span[name="transform_text"]').text(" - Z-Scores")
}
}
}
-zero_to_one_vals_exist = check_for_zero_to_one_vals();
+zeroToOneValsExist = checkForZeroToOneVals();
-show_transform_warning = function() {
+showTransformWarning = function() {
transform_type = $('#norm_method option:selected').val()
if (transform_type == "log2" || transform_type == "log10"){
- if (zero_to_one_vals_exist){
+ if (zeroToOneValsExist){
$('#transform_alert').css("display", "block")
}
} else {
@@ -1092,15 +1092,15 @@ show_transform_warning = function() {
}
$('#norm_method').change(function(){
- show_transform_warning()
+ showTransformWarning()
});
$('#normalize').hover(function(){
- show_transform_warning()
+ showTransformWarning()
});
-$('#normalize').click(normalize_data)
+$('#normalize').click(normalizeData)
-switch_qnorm_data = function() {
+switchQNormData = function() {
return $('.trait-value-input').each((function(_this) {
return function(_index, element) {
transform_val = $(element).data('transform')
@@ -1111,9 +1111,9 @@ switch_qnorm_data = function() {
};
})(this));
};
-$('#qnorm').click(switch_qnorm_data);
+$('#qnorm').click(switchQNormData);
-get_sample_table_data = function(table_name) {
+getSampleTableData = function(table_name) {
var samples;
samples = [];
@@ -1121,32 +1121,32 @@ get_sample_table_data = function(table_name) {
var n_exists = false;
if ($('#' + table_name).length){
- table_api = $('#' + table_name).DataTable();
+ tableApi = $('#' + table_name).DataTable();
sample_vals = [];
- name_nodes = table_api.column(2).nodes().to$();
- val_nodes = table_api.column(3).nodes().to$();
+ name_nodes = tableApi.column(2).nodes().to$();
+ val_nodes = tableApi.column(3).nodes().to$();
if (js_data.se_exists){
- var_nodes = table_api.column(5).nodes().to$();
+ var_nodes = tableApi.column(5).nodes().to$();
if (js_data.has_num_cases) {
- n_nodes = table_api.column(6).nodes().to$();
+ n_nodes = tableApi.column(6).nodes().to$();
}
} else {
if (js_data.has_num_cases){
- n_nodes = table_api.column(4).nodes().to$();
+ n_nodes = tableApi.column(4).nodes().to$();
}
}
for (_j = 0; _j < val_nodes.length; _j++){
sample_val = val_nodes[_j].childNodes[0].value
sample_name = $.trim(name_nodes[_j].childNodes[0].textContent)
- if (is_number(sample_val) && sample_val !== "") {
+ if (isNumber(sample_val) && sample_val !== "") {
sample_val = parseFloat(sample_val);
if (typeof var_nodes == 'undefined'){
sample_var = null;
} else {
sample_var = var_nodes[_j].childNodes[0].value;
- if (is_number(sample_var)) {
+ if (isNumber(sample_var)) {
sample_var = parseFloat(sample_var);
se_exists = true;
} else {
@@ -1157,7 +1157,7 @@ get_sample_table_data = function(table_name) {
sample_n = null;
} else {
sample_n = n_nodes[_j].childNodes[0].value;
- if (is_number(sample_n)) {
+ if (isNumber(sample_n)) {
n_exists = true;
sample_n = parseInt(sample_n);
} else {
@@ -1177,11 +1177,11 @@ get_sample_table_data = function(table_name) {
return samples;
};
-export_sample_table_data = function() {
+exportSampleTableData = function() {
var format, json_sample_data, sample_data;
sample_data = {};
- sample_data.primary_samples = get_sample_table_data('samples_primary');
- sample_data.other_samples = get_sample_table_data('samples_other');
+ sample_data.primary_samples = getSampleTableData('samples_primary');
+ sample_data.other_samples = getSampleTableData('samples_other');
json_sample_data = JSON.stringify(sample_data);
$('input[name=export_data]').val(json_sample_data);
format = $('input[name=export_format]').val();
@@ -1203,11 +1203,11 @@ $('.export_format').change(function() {
$('.export_format').val( this.value );
});
-$('.export').click(export_sample_table_data);
-$('#block_outliers').click(block_outliers);
+$('.export').click(exportSampleTableData);
+$('#blockOutliers').click(blockOutliers);
_.mixin(_.str.exports());
-get_sample_vals = function(sample_list) {
+getSampleVals = function(sample_list) {
var sample;
return this.sample_vals = (function() {
var i, len, results;
@@ -1222,7 +1222,7 @@ get_sample_vals = function(sample_list) {
})();
};
-get_sample_errors = function(sample_list) {
+getSampleErrors = function(sample_list) {
var sample;
return this.sample_vals = (function() {
var i, len, results;
@@ -1239,9 +1239,9 @@ get_sample_errors = function(sample_list) {
})();
};
-get_sample_names = function(sample_list) {
+getSampleNames = function(sample_list) {
var sample;
- return this.sample_names = (function() {
+ return this.sampleNames = (function() {
var i, len, results;
results = [];
for (i = 0, len = sample_list.length; i < len; i++) {
@@ -1254,31 +1254,31 @@ get_sample_names = function(sample_list) {
})();
};
-get_bar_bottom_margin = function(sample_list){
- bottom_margin = 80
- max_length = 0
- sample_names = get_sample_names(sample_list)
- for (i=0; i < sample_names.length; i++){
- if (sample_names[i].length > max_length) {
- max_length = sample_names[i].length
+getBarBottomMargin = function(sample_list){
+ bottomMargin = 80
+ maxLength = 0
+ sampleNames = getSampleNames(sample_list)
+ for (i=0; i < sampleNames.length; i++){
+ if (sampleNames[i].length > maxLength) {
+ maxLength = sampleNames[i].length
}
}
- if (max_length > 6){
- bottom_margin += 11*(max_length - 6)
+ if (maxLength > 6){
+ bottomMargin += 11*(maxLength - 6)
}
- return bottom_margin;
+ return bottomMargin;
}
root.stats_group = 'samples_primary';
if (Object.keys(js_data.sample_group_types).length > 1) {
- full_sample_lists = [sample_lists[0], sample_lists[1], sample_lists[0].concat(sample_lists[1])]
- sample_group_list = [js_data.sample_group_types['samples_primary'], js_data.sample_group_types['samples_other'], js_data.sample_group_types['samples_all']]
+ fullSampleLists = [sampleLists[0], sampleLists[1], sampleLists[0].concat(sampleLists[1])]
+ sampleGroupList = [js_data.sample_group_types['samples_primary'], js_data.sample_group_types['samples_other'], js_data.sample_group_types['samples_all']]
} else {
- full_sample_lists = [sample_lists[0]]
- sample_group_list = [js_data.sample_group_types['samples_primary']]
+ fullSampleLists = [sampleLists[0]]
+ sampleGroupList = [js_data.sample_group_types['samples_primary']]
}
// Define Plotly Options (for the options bar at the top of each figure)
@@ -1307,76 +1307,76 @@ root.modebar_options = {
// Bar Chart
-root.errors_exist = get_sample_errors(sample_lists[0])[1]
-var bar_trace = {
- x: get_sample_names(sample_lists[0]),
- y: get_sample_vals(sample_lists[0]),
+root.errors_exist = getSampleErrors(sampleLists[0])[1]
+var barTrace = {
+ x: getSampleNames(sampleLists[0]),
+ y: getSampleVals(sampleLists[0]),
error_y: {
type: 'data',
- array: get_sample_errors(sample_lists[0])[0],
+ array: getSampleErrors(sampleLists[0])[0],
visible: root.errors_exist
},
type: 'bar'
}
-root.bar_data = [bar_trace]
+root.bar_data = [barTrace]
-get_bar_range = function(sample_vals, sample_errors = null){
- positive_error_vals = []
- negative_error_vals = []
+getBarRange = function(sample_vals, sampleErrors = null){
+ positiveErrorVals = []
+ negativeErrorVals = []
for (i = 0;i < sample_vals.length; i++){
- if (sample_errors[i] != undefined) {
- positive_error_vals.push(sample_vals[i] + sample_errors[i])
- negative_error_vals.push(sample_vals[i] - sample_errors[i])
+ if (sampleErrors[i] != undefined) {
+ positiveErrorVals.push(sample_vals[i] + sampleErrors[i])
+ negativeErrorVals.push(sample_vals[i] - sampleErrors[i])
} else {
- positive_error_vals.push(sample_vals[i])
- negative_error_vals.push(sample_vals[i])
+ positiveErrorVals.push(sample_vals[i])
+ negativeErrorVals.push(sample_vals[i])
}
}
- min_y_val = Math.min(...negative_error_vals)
- max_y_val = Math.max(...positive_error_vals)
+ minYVal = Math.min(...negativeErrorVals)
+ maxYVal = Math.max(...positiveErrorVals)
- if (min_y_val == 0) {
- range_top = max_y_val + Math.abs(max_y_val)*0.1
- range_bottom = 0;
+ if (minYVal == 0) {
+ rangeTop = maxYVal + Math.abs(maxYVal)*0.1
+ rangeBottom = 0;
} else {
- range_top = max_y_val + Math.abs(max_y_val)*0.1
- range_bottom = min_y_val - Math.abs(min_y_val)*0.1
- if (min_y_val > 0) {
- range_bottom = min_y_val - 0.1*Math.abs(min_y_val)
- } else if (min_y_val < 0) {
- range_bottom = min_y_val + 0.1*min_y_val
+ rangeTop = maxYVal + Math.abs(maxYVal)*0.1
+ rangeBottom = minYVal - Math.abs(minYVal)*0.1
+ if (minYVal > 0) {
+ rangeBottom = minYVal - 0.1*Math.abs(minYVal)
+ } else if (minYVal < 0) {
+ rangeBottom = minYVal + 0.1*minYVal
} else {
- range_bottom = 0
+ rangeBottom = 0
}
}
- return [range_bottom, range_top]
+ return [rangeBottom, rangeTop]
}
-root.chart_range = get_bar_range(get_sample_vals(sample_lists[0]), get_sample_errors(sample_lists[0])[0])
-val_range = root.chart_range[1] - root.chart_range[0]
-
-if (val_range < 0.05){
- tick_digits = '.3f'
- left_margin = 80
-} else if (val_range < 0.5) {
- tick_digits = '.2f'
- left_margin = 70
-} else if (val_range < 5){
- tick_digits = '.1f'
- left_margin = 60
+root.chart_range = getBarRange(getSampleVals(sampleLists[0]), getSampleErrors(sampleLists[0])[0])
+valRange = root.chart_range[1] - root.chart_range[0]
+
+if (valRange < 0.05){
+ tickDigits = '.3f'
+ leftMargin = 80
+} else if (valRange < 0.5) {
+ tickDigits = '.2f'
+ leftMargin = 70
+} else if (valRange < 5){
+ tickDigits = '.1f'
+ leftMargin = 60
} else {
- tick_digits = 'f'
- left_margin = 55
+ tickDigits = 'f'
+ leftMargin = 55
}
if (js_data.num_values < 256) {
- bar_chart_width = 25 * get_sample_vals(sample_lists[0]).length
+ barChartWidth = 25 * getSampleVals(sampleLists[0]).length
//ZS: Set bottom margin dependent on longest sample name length, since those can get long
- bottom_margin = get_bar_bottom_margin(sample_lists[0])
+ bottomMargin = getBarBottomMargin(sampleLists[0])
root.bar_layout = {
title: "<b>Trait " + js_data.trait_id + ": " + js_data.short_description + "</b>",
@@ -1402,32 +1402,32 @@ if (js_data.num_values < 256) {
tickfont: {
size: 16
},
- tickformat: tick_digits,
+ tickformat: tickDigits,
fixedrange: true
},
- width: bar_chart_width,
+ width: barChartWidth,
height: 600,
margin: {
- l: left_margin,
+ l: leftMargin,
r: 30,
t: 100,
- b: bottom_margin
+ b: bottomMargin
}
};
$('.bar_chart_tab').click(function() {
- update_bar_chart();
+ updateBarChart();
});
}
total_sample_count = 0
-for (i = 0, i < sample_lists.length; i++;) {
- total_sample_count += get_sample_vals(sample_lists[i]).length
+for (i = 0, i < sampleLists.length; i++;) {
+ total_sample_count += getSampleVals(sampleLists[i]).length
}
// Histogram
var hist_trace = {
- x: get_sample_vals(sample_lists[0]),
+ x: getSampleVals(sampleLists[0]),
type: 'histogram'
};
root.histogram_data = [hist_trace];
@@ -1472,14 +1472,14 @@ root.histogram_layout = {
};
$('.histogram_tab').click(function() {
- update_histogram();
- update_histogram_width();
+ updateHistogram();
+ updateHistogram_width();
});
$('.histogram_samples_group').val(root.stats_group);
$('.histogram_samples_group').change(function() {
root.stats_group = $(this).val();
- return update_histogram();
+ return updateHistogram();
});
root.box_layout = {
@@ -1505,7 +1505,7 @@ root.box_layout = {
tickfont: {
size: 16
},
- tickformat: tick_digits,
+ tickformat: tickDigits,
zeroline: false,
automargin: true
},
@@ -1516,13 +1516,13 @@ root.box_layout = {
b: 80
}
};
-if (full_sample_lists.length > 1) {
+if (fullSampleLists.length > 1) {
root.box_layout['width'] = 600;
root.box_layout['height'] = 500;
var trace1 = {
- y: get_sample_vals(full_sample_lists[0]),
+ y: getSampleVals(fullSampleLists[0]),
type: 'box',
- name: sample_group_list[0],
+ name: sampleGroupList[0],
boxpoints: 'Outliers',
jitter: 0.5,
whiskerwidth: 0.2,
@@ -1537,9 +1537,9 @@ if (full_sample_lists.length > 1) {
}
}
var trace2 = {
- y: get_sample_vals(full_sample_lists[1]),
+ y: getSampleVals(fullSampleLists[1]),
type: 'box',
- name: sample_group_list[1],
+ name: sampleGroupList[1],
boxpoints: 'Outliers',
jitter: 0.5,
whiskerwidth: 0.2,
@@ -1554,9 +1554,9 @@ if (full_sample_lists.length > 1) {
}
}
var trace3 = {
- y: get_sample_vals(full_sample_lists[2]),
+ y: getSampleVals(fullSampleLists[2]),
type: 'box',
- name: sample_group_list[2],
+ name: sampleGroupList[2],
boxpoints: 'Outliers',
jitter: 0.5,
whiskerwidth: 0.2,
@@ -1577,7 +1577,7 @@ if (full_sample_lists.length > 1) {
root.box_data = [
{
type: 'box',
- y: get_sample_vals(full_sample_lists[0]),
+ y: getSampleVals(fullSampleLists[0]),
name: "<b>Trait " + js_data.trait_id + "</b>",
boxpoints: 'Outliers',
jitter: 0.5,
@@ -1628,7 +1628,7 @@ root.violin_layout = {
tickfont: {
size: 16
},
- tickformat: tick_digits,
+ tickformat: tickDigits,
zeroline: false,
automargin: true
},
@@ -1640,11 +1640,11 @@ root.violin_layout = {
}
};
-if (full_sample_lists.length > 1) {
+if (fullSampleLists.length > 1) {
root.violin_layout['width'] = 600;
root.violin_layout['height'] = 500;
var trace1 = {
- y: get_sample_vals(full_sample_lists[2]),
+ y: getSampleVals(fullSampleLists[2]),
type: 'violin',
points: 'none',
box: {
@@ -1656,11 +1656,11 @@ if (full_sample_lists.length > 1) {
meanline: {
visible: true
},
- name: sample_group_list[2],
- x0: sample_group_list[2]
+ name: sampleGroupList[2],
+ x0: sampleGroupList[2]
}
var trace2 = {
- y: get_sample_vals(full_sample_lists[1]),
+ y: getSampleVals(fullSampleLists[1]),
type: 'violin',
points: 'none',
box: {
@@ -1672,11 +1672,11 @@ if (full_sample_lists.length > 1) {
meanline: {
visible: true
},
- name: sample_group_list[1],
- x0: sample_group_list[1]
+ name: sampleGroupList[1],
+ x0: sampleGroupList[1]
}
var trace3 = {
- y: get_sample_vals(full_sample_lists[0]),
+ y: getSampleVals(fullSampleLists[0]),
type: 'violin',
points: 'none',
box: {
@@ -1688,8 +1688,8 @@ if (full_sample_lists.length > 1) {
meanline: {
visible: true
},
- name: sample_group_list[0],
- x0: sample_group_list[0]
+ name: sampleGroupList[0],
+ x0: sampleGroupList[0]
}
root.violin_data = [trace1, trace2, trace3]
} else {
@@ -1697,7 +1697,7 @@ if (full_sample_lists.length > 1) {
root.violin_layout['height'] = 400;
root.violin_data = [
{
- y: get_sample_vals(full_sample_lists[0]),
+ y: getSampleVals(fullSampleLists[0]),
type: 'violin',
points: 'none',
box: {
@@ -1713,33 +1713,33 @@ if (full_sample_lists.length > 1) {
}
$('.violin_plot_tab').click(function() {
- update_violin_plot();
+ updateViolinPlot();
});
-if (get_sample_vals(sample_lists[0]).length < 256) {
+if (getSampleVals(sampleLists[0]).length < 256) {
$('.bar_chart_samples_group').change(function() {
root.stats_group = $(this).val();
- return update_bar_chart();
+ return updateBarChart();
});
root.bar_sort = "name"
}
$('.sort_by_name').click(function() {
root.bar_sort = "name"
- return update_bar_chart();
+ return updateBarChart();
});
$('.sort_by_value').click(function() {
root.bar_sort = "value"
- return update_bar_chart();
+ return updateBarChart();
});
root.prob_plot_group = 'samples_primary';
$('.prob_plot_samples_group').val(root.prob_plot_group);
$('.prob_plot_tab').click(function() {
- return update_prob_plot();
+ return updateProbPlot();
});
$('.prob_plot_samples_group').change(function() {
root.prob_plot_group = $(this).val();
- return update_prob_plot();
+ return updateProbPlot();
});
function isEmpty( el ){
@@ -1748,37 +1748,37 @@ function isEmpty( el ){
$('.stats_panel').click(function() {
if (isEmpty($('#stats_table'))){
- make_table();
- edit_data_change();
+ makeTable();
+ editDataChange();
} else {
- edit_data_change();
+ editDataChange();
}
});
-$('#block_by_index').click(function(){
- block_by_index();
- edit_data_change();
+$('#blockByIndex').click(function(){
+ blockByIndex();
+ editDataChange();
});
$('#filter_by_study').click(function(){
filter_by_study();
- edit_data_change();
+ editDataChange();
})
$('#filter_by_value').click(function(){
filter_by_value();
- edit_data_change();
+ editDataChange();
})
$('.edit_sample_value').change(function() {
- edit_data_change();
+ editDataChange();
});
-$('#exclude_group').click(edit_data_change);
-$('#block_outliers').click(edit_data_change);
-$('#reset').click(edit_data_change);
-$('#qnorm').click(edit_data_change);
-$('#normalize').click(edit_data_change);
+$('#exclude_group').click(editDataChange);
+$('#blockOutliers').click(editDataChange);
+$('#reset').click(editDataChange);
+$('#qnorm').click(editDataChange);
+$('#normalize').click(editDataChange);
Number.prototype.countDecimals = function () {
if(Math.floor(this.valueOf()) === this.valueOf()) return 0;
generated by cgit v1.2.3 (git 2.44.0) at 2024-11-24 01:50:29 +0000