R: Draw xy plots of results of multivariate analysis
s.var
R Documentation
Draw xy plots of results of multivariate analysis
Description
A number of functions for graphically displaying results from between group,
coinertia, or other multivariate analysis of gene expression data. s.var,
s.groups and s.match.col are derived from ADE4 graphics modules, s.label,
s.class and s.match respectively.
These functions are modified versions of s.label, s.class and s.match graph
modules from ADE4. Please see s.label or
s.class and s.match
for father details.
These functions s.var, s.groups and s.match.col are called by
plot.bga and plot.cia.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(made4)
Loading required package: ade4
Loading required package: RColorBrewer
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: scatterplot3d
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/made4/s.var.Rd_%03d_medium.png", width=480, height=480)
> ### Name: s.var
> ### Title: Draw xy plots of results of multivariate analysis
> ### Aliases: s.var s.groups s.match.col
> ### Keywords: multivariate internal
>
> ### ** Examples
>
> data(khan)
> if (require(ade4, quiet = TRUE)) {
+ khan.bga<-bga(khan$train, khan$train.classes)
+ attach(khan.bga)
+ par(mfrow=c(2,2))
+ s.var(bet$ls, col=as.numeric(khan$train.classes), clabel=0.8)
+ s.groups(bet$ls, khan$train.classes, add.plot=TRUE,
+ col=c(1:length(levels(khan$train.classes))) )
+
+ }
>
>
>
>
> dev.off()
null device
1
>