Correlation Chart

A correlogram or correlation matrix allows to analyse the relationship between each pair of numeric variables of a matrix.



Color Themes


{
   "x" : {
      "Factor1" : ["Lev : 1","Lev : 2","Lev : 3","Lev : 1","Lev : 2","Lev : 3"],
      "Factor2" : ["Lev : A","Lev : B","Lev : A","Lev : B","Lev : A","Lev : B"],
      "Factor3" : ["Lev : X","Lev : X","Lev : Y","Lev : Y","Lev : Z","Lev : Z"],
      "Factor4" : [5,10,15,20,25,30],
      "Factor5" : [8,16,24,32,40,48],
      "Factor6" : [10,20,30,40,50,60]
   },
   "y" : {
      "data" : [
        [5,10,25,40,45,50],
        [95,80,75,70,55,40],
        [25,30,45,60,65,70],
        [55,40,35,30,15,1]
      ],
      "desc" : ["Magnitude1","Magnitude2"],
      "smps" : ["S1","S2","S3","S4","S5","S6"],
      "vars" : ["V1","V2","V3","V4"]
   },
   "z" : {
      "Annt1" : ["Desc : 1","Desc : 2","Desc : 3","Desc : 4"],
      "Annt2" : ["Desc : A","Desc : B","Desc : A","Desc : B"],
      "Annt3" : ["Desc : X","Desc : X","Desc : Y","Desc : Y"],
      "Annt4" : [5,10,15,20],
      "Annt5" : [8,16,24,32],
      "Annt6" : [10,20,30,40]
   }
}

{
   "correlationAxis" : "samples",
   "graphType" : "Correlation",
   "showTransition" : "false",
   "title" : "Correlation Plot",
   "yAxisTitle" : "Correlation Title"
}

library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-generic-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/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  smpAnnot=x,
  varAnnot=z,
  correlationAxis="samples",
  graphType="Correlation",
  showTransition=FALSE,
  title="Correlation Plot",
  yAxisTitle="Correlation Title"
)
⇧