Segregated Connected Raincloud
Violin plots offer a compelling visualization combining box plots and kernel density estimations. They showcase data distribution, including median, quartiles, and the probability density of the data at different values. This detailed view helps compare distributions across multiple groups effectively. Unlike box plots which only show summary statistics, violin plots provide a richer understanding of the data shape and spread, revealing skewness and the presence of outliers more clearly. They are particularly useful for identifying differences and similarities between various datasets. This enhanced visualization improves data interpretation and communication.
<html>
<head>
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>
</head>
<body>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"></canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
// Use a data frame (2D-array) for the graph
var data =
// Create the configuration for the graph
var config = {
"backgroundType": "panel",
"boxplotWidthRatioIfViolin": 0.15,
"colorBy": "Cohort",
"colorScheme": "GGPlot",
"connectBy": "Subject",
"connectByPointColor": true,
"connectByWidth": 1,
"graphOrientation": "vertical",
"graphType": "Boxplot",
"groupingFactors": [
"Condition"
],
"guidesColor": "white",
"guidesShow": true,
"jitter": true,
"jitterFactor": 0.6,
"layoutTopology": "1X3",
"panelBackgroundColor": "#EDEDED",
"segregateSamplesBy": [
"Cohort"
],
"showBoxplotIfViolin": true,
"showBoxplotOriginalData": true,
"showBoxplotOriginalDataColor": true,
"showLegend": false,
"showViolinBoxplot": true,
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.83,
"smpTitle": "Condition",
"stringSampleFactors": [
"Condition",
"Cohort"
],
"title": "Paired Raincloud by Cohort",
"violinScale": "width",
"violinSide": {
"Baseline": "lt",
"Followup": "rb"
},
"violinTransparency": 0.5,
"xAxis": [
"Value"
],
"xAxisTitle": "Value"
}
// Event used to create graph (optional)
var events = false
// Call the CanvasXpress function to create the graph
var cX = new CanvasXpress("canvasId", data, config, events);
</script>
</body>
</html>
<html>
<head>
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>
</head>
<body>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"></canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
// Create the data for the graph
var data = {
"x" : {
"Condition" : [
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Baseline",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup",
"Followup"
],
"Cohort" : [
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort A",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort B",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C",
"Cohort C"
],
"Subject" : [
"A-S00",
"A-S01",
"A-S02",
"A-S03",
"A-S04",
"A-S05",
"A-S06",
"A-S07",
"A-S08",
"A-S09",
"A-S10",
"A-S11",
"A-S12",
"A-S13",
"A-S00",
"A-S01",
"A-S02",
"A-S03",
"A-S04",
"A-S05",
"A-S06",
"A-S07",
"A-S08",
"A-S09",
"A-S10",
"A-S11",
"A-S12",
"A-S13",
"B-S00",
"B-S01",
"B-S02",
"B-S03",
"B-S04",
"B-S05",
"B-S06",
"B-S07",
"B-S08",
"B-S09",
"B-S10",
"B-S11",
"B-S12",
"B-S13",
"B-S00",
"B-S01",
"B-S02",
"B-S03",
"B-S04",
"B-S05",
"B-S06",
"B-S07",
"B-S08",
"B-S09",
"B-S10",
"B-S11",
"B-S12",
"B-S13",
"C-S00",
"C-S01",
"C-S02",
"C-S03",
"C-S04",
"C-S05",
"C-S06",
"C-S07",
"C-S08",
"C-S09",
"C-S10",
"C-S11",
"C-S12",
"C-S13",
"C-S00",
"C-S01",
"C-S02",
"C-S03",
"C-S04",
"C-S05",
"C-S06",
"C-S07",
"C-S08",
"C-S09",
"C-S10",
"C-S11",
"C-S12",
"C-S13"
]
},
"y" : {
"vars" : [
"Value"
],
"smps" : [
"B-A-S00",
"B-A-S01",
"B-A-S02",
"B-A-S03",
"B-A-S04",
"B-A-S05",
"B-A-S06",
"B-A-S07",
"B-A-S08",
"B-A-S09",
"B-A-S10",
"B-A-S11",
"B-A-S12",
"B-A-S13",
"F-A-S00",
"F-A-S01",
"F-A-S02",
"F-A-S03",
"F-A-S04",
"F-A-S05",
"F-A-S06",
"F-A-S07",
"F-A-S08",
"F-A-S09",
"F-A-S10",
"F-A-S11",
"F-A-S12",
"F-A-S13",
"B-B-S00",
"B-B-S01",
"B-B-S02",
"B-B-S03",
"B-B-S04",
"B-B-S05",
"B-B-S06",
"B-B-S07",
"B-B-S08",
"B-B-S09",
"B-B-S10",
"B-B-S11",
"B-B-S12",
"B-B-S13",
"F-B-S00",
"F-B-S01",
"F-B-S02",
"F-B-S03",
"F-B-S04",
"F-B-S05",
"F-B-S06",
"F-B-S07",
"F-B-S08",
"F-B-S09",
"F-B-S10",
"F-B-S11",
"F-B-S12",
"F-B-S13",
"B-C-S00",
"B-C-S01",
"B-C-S02",
"B-C-S03",
"B-C-S04",
"B-C-S05",
"B-C-S06",
"B-C-S07",
"B-C-S08",
"B-C-S09",
"B-C-S10",
"B-C-S11",
"B-C-S12",
"B-C-S13",
"F-C-S00",
"F-C-S01",
"F-C-S02",
"F-C-S03",
"F-C-S04",
"F-C-S05",
"F-C-S06",
"F-C-S07",
"F-C-S08",
"F-C-S09",
"F-C-S10",
"F-C-S11",
"F-C-S12",
"F-C-S13"
],
"data" : [
[
5.1,
4.91,
5.17,
4.92,
5.27,
5.41,
5.26,
4.83,
4.88,
4.81,
4.73,
5.09,
4.96,
4.72,
5.81,
5.74,
6.23,
5.83,
6.18,
6.03,
6.09,
5.57,
5.86,
5.88,
5.4,
5.92,
6.01,
5.21,
5.18,
4.29,
4.82,
4.47,
4.5,
4.15,
4.44,
4.89,
4.46,
4.91,
4.92,
4.95,
4.66,
4.84,
6.34,
5.62,
6.24,
6.25,
5.73,
5.73,
5.8,
6.7,
5.8,
6.59,
6.1,
6.26,
5.81,
6.17,
4.73,
4.63,
5.43,
5.62,
5.59,
5.26,
5.61,
5.87,
5.81,
5.41,
6.0,
4.73,
5.28,
5.12,
5.11,
5.35,
5.56,
6.75,
6.5,
5.77,
6.13,
6.55,
5.85,
6.01,
6.14,
4.96,
5.49,
5.5
]
]
}
}
// Create the configuration for the graph
var config = {
"backgroundType": "panel",
"boxplotWidthRatioIfViolin": 0.15,
"colorBy": "Cohort",
"colorScheme": "GGPlot",
"connectBy": "Subject",
"connectByPointColor": true,
"connectByWidth": 1,
"graphOrientation": "vertical",
"graphType": "Boxplot",
"groupingFactors": [
"Condition"
],
"guidesColor": "white",
"guidesShow": true,
"jitter": true,
"jitterFactor": 0.6,
"layoutTopology": "1X3",
"panelBackgroundColor": "#EDEDED",
"segregateSamplesBy": [
"Cohort"
],
"showBoxplotIfViolin": true,
"showBoxplotOriginalData": true,
"showBoxplotOriginalDataColor": true,
"showLegend": false,
"showViolinBoxplot": true,
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.83,
"smpTitle": "Condition",
"stringSampleFactors": [
"Condition",
"Cohort"
],
"title": "Paired Raincloud by Cohort",
"violinScale": "width",
"violinSide": {
"Baseline": "lt",
"Followup": "rb"
},
"violinTransparency": 0.5,
"xAxis": [
"Value"
],
"xAxisTitle": "Value"
}
// Event used to create graph (optional)
var events = false
// Call the CanvasXpress function to create the graph
var cX = new CanvasXpress("canvasId", data, config, events);
</script>
</body>
</html>
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-violin29-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-violin29-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
backgroundType="panel",
boxplotWidthRatioIfViolin=0.15,
colorBy="Cohort",
colorScheme="GGPlot",
connectBy="Subject",
connectByPointColor=TRUE,
connectByWidth=1,
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("Condition"),
guidesColor="white",
guidesShow=TRUE,
jitter=TRUE,
jitterFactor=0.6,
layoutTopology="1X3",
panelBackgroundColor="#EDEDED",
segregateSamplesBy=list("Cohort"),
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showBoxplotOriginalDataColor=TRUE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTextScaleFontFactor=0.83,
smpTitle="Condition",
stringSampleFactors=list("Condition", "Cohort"),
title="Paired Raincloud by Cohort",
violinScale="width",
violinSide=list(Baseline="lt", Followup="rb"),
violinTransparency=0.5,
xAxis=list("Value"),
xAxisTitle="Value"
)
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import show_in_browser
if __name__ == "__main__":
# Define the chart with its data and configuration
chart: CanvasXpress = CanvasXpress(
render_to = "violin29",
data = {
"x": {
"Condition": ["Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup"],
"Cohort": ["Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C"],
"Subject": ["A-S00", "A-S01", "A-S02", "A-S03", "A-S04", "A-S05", "A-S06", "A-S07", "A-S08", "A-S09", "A-S10", "A-S11", "A-S12", "A-S13", "A-S00", "A-S01", "A-S02", "A-S03", "A-S04", "A-S05", "A-S06", "A-S07", "A-S08", "A-S09", "A-S10", "A-S11", "A-S12", "A-S13", "B-S00", "B-S01", "B-S02", "B-S03", "B-S04", "B-S05", "B-S06", "B-S07", "B-S08", "B-S09", "B-S10", "B-S11", "B-S12", "B-S13", "B-S00", "B-S01", "B-S02", "B-S03", "B-S04", "B-S05", "B-S06", "B-S07", "B-S08", "B-S09", "B-S10", "B-S11", "B-S12", "B-S13", "C-S00", "C-S01", "C-S02", "C-S03", "C-S04", "C-S05", "C-S06", "C-S07", "C-S08", "C-S09", "C-S10", "C-S11", "C-S12", "C-S13", "C-S00", "C-S01", "C-S02", "C-S03", "C-S04", "C-S05", "C-S06", "C-S07", "C-S08", "C-S09", "C-S10", "C-S11", "C-S12", "C-S13"]
},
"y": {
"vars": ["Value"],
"smps": ["B-A-S00", "B-A-S01", "B-A-S02", "B-A-S03", "B-A-S04", "B-A-S05", "B-A-S06", "B-A-S07", "B-A-S08", "B-A-S09", "B-A-S10", "B-A-S11", "B-A-S12", "B-A-S13", "F-A-S00", "F-A-S01", "F-A-S02", "F-A-S03", "F-A-S04", "F-A-S05", "F-A-S06", "F-A-S07", "F-A-S08", "F-A-S09", "F-A-S10", "F-A-S11", "F-A-S12", "F-A-S13", "B-B-S00", "B-B-S01", "B-B-S02", "B-B-S03", "B-B-S04", "B-B-S05", "B-B-S06", "B-B-S07", "B-B-S08", "B-B-S09", "B-B-S10", "B-B-S11", "B-B-S12", "B-B-S13", "F-B-S00", "F-B-S01", "F-B-S02", "F-B-S03", "F-B-S04", "F-B-S05", "F-B-S06", "F-B-S07", "F-B-S08", "F-B-S09", "F-B-S10", "F-B-S11", "F-B-S12", "F-B-S13", "B-C-S00", "B-C-S01", "B-C-S02", "B-C-S03", "B-C-S04", "B-C-S05", "B-C-S06", "B-C-S07", "B-C-S08", "B-C-S09", "B-C-S10", "B-C-S11", "B-C-S12", "B-C-S13", "F-C-S00", "F-C-S01", "F-C-S02", "F-C-S03", "F-C-S04", "F-C-S05", "F-C-S06", "F-C-S07", "F-C-S08", "F-C-S09", "F-C-S10", "F-C-S11", "F-C-S12", "F-C-S13"],
"data": [
[5.1, 4.91, 5.17, 4.92, 5.27, 5.41, 5.26, 4.83, 4.88, 4.81, 4.73, 5.09, 4.96, 4.72, 5.81, 5.74, 6.23, 5.83, 6.18, 6.03, 6.09, 5.57, 5.86, 5.88, 5.4, 5.92, 6.01, 5.21, 5.18, 4.29, 4.82, 4.47, 4.5, 4.15, 4.44, 4.89, 4.46, 4.91, 4.92, 4.95, 4.66, 4.84, 6.34, 5.62, 6.24, 6.25, 5.73, 5.73, 5.8, 6.7, 5.8, 6.59, 6.1, 6.26, 5.81, 6.17, 4.73, 4.63, 5.43, 5.62, 5.59, 5.26, 5.61, 5.87, 5.81, 5.41, 6.0, 4.73, 5.28, 5.12, 5.11, 5.35, 5.56, 6.75, 6.5, 5.77, 6.13, 6.55, 5.85, 6.01, 6.14, 4.96, 5.49, 5.5]
]
}
},
config = {
"backgroundType": "panel",
"boxplotWidthRatioIfViolin": 0.15,
"colorBy": "Cohort",
"colorScheme": "GGPlot",
"connectBy": "Subject",
"connectByPointColor": True,
"connectByWidth": 1,
"graphOrientation": "vertical",
"graphType": "Boxplot",
"groupingFactors": ["Condition"],
"guidesColor": "white",
"guidesShow": True,
"jitter": True,
"jitterFactor": 0.6,
"layoutTopology": "1X3",
"panelBackgroundColor": "#EDEDED",
"segregateSamplesBy": ["Cohort"],
"showBoxplotIfViolin": True,
"showBoxplotOriginalData": True,
"showBoxplotOriginalDataColor": True,
"showLegend": False,
"showViolinBoxplot": True,
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.83,
"smpTitle": "Condition",
"stringSampleFactors": ["Condition", "Cohort"],
"title": "Paired Raincloud by Cohort",
"violinScale": "width",
"violinSide": {
"Baseline": "lt",
"Followup": "rb"
},
"violinTransparency": 0.5,
"xAxis": ["Value"],
"xAxisTitle": "Value"
},
width = 600,
height = 600
)
# Display the chart in its own Web page
show_in_browser(chart)
Run this notebook:
from canvasxpress.canvas import CanvasXpress
from canvasxpress.plot import graph
graph(
CanvasXpress(
render_to = "violin29",
data = {
"x": {
"Condition": ["Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Baseline", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup", "Followup"],
"Cohort": ["Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort A", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort B", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C", "Cohort C"],
"Subject": ["A-S00", "A-S01", "A-S02", "A-S03", "A-S04", "A-S05", "A-S06", "A-S07", "A-S08", "A-S09", "A-S10", "A-S11", "A-S12", "A-S13", "A-S00", "A-S01", "A-S02", "A-S03", "A-S04", "A-S05", "A-S06", "A-S07", "A-S08", "A-S09", "A-S10", "A-S11", "A-S12", "A-S13", "B-S00", "B-S01", "B-S02", "B-S03", "B-S04", "B-S05", "B-S06", "B-S07", "B-S08", "B-S09", "B-S10", "B-S11", "B-S12", "B-S13", "B-S00", "B-S01", "B-S02", "B-S03", "B-S04", "B-S05", "B-S06", "B-S07", "B-S08", "B-S09", "B-S10", "B-S11", "B-S12", "B-S13", "C-S00", "C-S01", "C-S02", "C-S03", "C-S04", "C-S05", "C-S06", "C-S07", "C-S08", "C-S09", "C-S10", "C-S11", "C-S12", "C-S13", "C-S00", "C-S01", "C-S02", "C-S03", "C-S04", "C-S05", "C-S06", "C-S07", "C-S08", "C-S09", "C-S10", "C-S11", "C-S12", "C-S13"]
},
"y": {
"vars": ["Value"],
"smps": ["B-A-S00", "B-A-S01", "B-A-S02", "B-A-S03", "B-A-S04", "B-A-S05", "B-A-S06", "B-A-S07", "B-A-S08", "B-A-S09", "B-A-S10", "B-A-S11", "B-A-S12", "B-A-S13", "F-A-S00", "F-A-S01", "F-A-S02", "F-A-S03", "F-A-S04", "F-A-S05", "F-A-S06", "F-A-S07", "F-A-S08", "F-A-S09", "F-A-S10", "F-A-S11", "F-A-S12", "F-A-S13", "B-B-S00", "B-B-S01", "B-B-S02", "B-B-S03", "B-B-S04", "B-B-S05", "B-B-S06", "B-B-S07", "B-B-S08", "B-B-S09", "B-B-S10", "B-B-S11", "B-B-S12", "B-B-S13", "F-B-S00", "F-B-S01", "F-B-S02", "F-B-S03", "F-B-S04", "F-B-S05", "F-B-S06", "F-B-S07", "F-B-S08", "F-B-S09", "F-B-S10", "F-B-S11", "F-B-S12", "F-B-S13", "B-C-S00", "B-C-S01", "B-C-S02", "B-C-S03", "B-C-S04", "B-C-S05", "B-C-S06", "B-C-S07", "B-C-S08", "B-C-S09", "B-C-S10", "B-C-S11", "B-C-S12", "B-C-S13", "F-C-S00", "F-C-S01", "F-C-S02", "F-C-S03", "F-C-S04", "F-C-S05", "F-C-S06", "F-C-S07", "F-C-S08", "F-C-S09", "F-C-S10", "F-C-S11", "F-C-S12", "F-C-S13"],
"data": [
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]
}
},
config = {
"backgroundType": "panel",
"boxplotWidthRatioIfViolin": 0.15,
"colorBy": "Cohort",
"colorScheme": "GGPlot",
"connectBy": "Subject",
"connectByPointColor": True,
"connectByWidth": 1,
"graphOrientation": "vertical",
"graphType": "Boxplot",
"groupingFactors": ["Condition"],
"guidesColor": "white",
"guidesShow": True,
"jitter": True,
"jitterFactor": 0.6,
"layoutTopology": "1X3",
"panelBackgroundColor": "#EDEDED",
"segregateSamplesBy": ["Cohort"],
"showBoxplotIfViolin": True,
"showBoxplotOriginalData": True,
"showBoxplotOriginalDataColor": True,
"showLegend": False,
"showViolinBoxplot": True,
"smpTextRotate": 90,
"smpTextScaleFontFactor": 0.83,
"smpTitle": "Condition",
"stringSampleFactors": ["Condition", "Cohort"],
"title": "Paired Raincloud by Cohort",
"violinScale": "width",
"violinSide": {
"Baseline": "lt",
"Followup": "rb"
},
"violinTransparency": 0.5,
"xAxis": ["Value"],
"xAxisTitle": "Value"
},
width = 600,
height = 600
)
)
