plotRes: Plot component analysis results

Description Usage Arguments Value Author(s) Examples

Description

Plot scatterplots of scores or loadings, for common and distinctive parts as well as combined plots.

Usage

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plotRes(object, comps=c(1, 2), what, type, combined, block, 
               color=NULL, shape=NULL, labels=NULL, background=TRUE, 
               palette=NULL, pointSize=4, labelSize=NULL, 
               axisSize=NULL, titleSize=NULL)

Arguments

object

caClass object containing component analysis results

comps

If combined=FALSE, it indicates the x and y components of the type and block chosen. If combined=TRUE, it indicates the component to plot for the first block of information and the component for the second block of information to plot together. By default the components are set to c(1,2) if combined=FALSE and to c(1,1) if combined=TRUE.

what

Either "scores" or "loadings"

type

Either "common", "individual" or "both"

combined

Logical indicating whether to make a simple plot of two components from one block, or components from different blocks

block

Which block to plot, either "1" or "2" or the name of the block.

color

Character specifying a pData column from the original data to use to color points

shape

Character specifying a pData column to select point shape

labels

Character specifying a pData column from which to take point labels

background

Logical specifying whether to make a grey background

palette

Vector giving the color palette for the plot

pointSize

Size of plot points

labelSize

Size of point labels if not NULL

axisSize

Size of axis text

titleSize

Size of title text

Value

ggplot object

Author(s)

Patricia Sebastian-Leon

Examples

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data("STATegRa_S3")
B1 <- createOmicsExpressionSet(Data=Block1.PCA,pData=ed.PCA,
                               pDataDescr=c("classname"))
B2 <- createOmicsExpressionSet(Data=Block2.PCA,
                               pData=ed.PCA,pDataDescr=c("classname"))
# Omics components analysis
discoRes <- omicsCompAnalysis(Input=list(B1,B2),Names=c("expr","mirna"),
                              method="DISCOSCA",Rcommon=2,Rspecific=c(2,2),
                              center=TRUE,scale=TRUE,weight=TRUE)
jiveRes <- omicsCompAnalysis(Input=list(B1,B2),Names=c("expr","mirna"),
                             method="JIVE",Rcommon=2,Rspecific=c(2,2),
                             center=TRUE,scale=TRUE,weight=TRUE)

o2plsRes <- omicsCompAnalysis(Input=list(B1,B2),Names=c("expr","mirna"),
                              method="O2PLS",Rcommon=2,Rspecific=c(2,2),
                              center=TRUE,scale=TRUE,weight=TRUE)

# Scatterplot of scores variables associated to common components

# DISCO-SCA
plotRes(object=discoRes,comps=c(1,2),what="scores",type="common",
        combined=FALSE,block="",color="classname",shape=NULL,labels=NULL,
        background=TRUE,palette=NULL,pointSize=4,labelSize=NULL,
        axisSize=NULL,titleSize=NULL)
# JIVE
plotRes(object=jiveRes,comps=c(1,2),what="scores",type="common",
       combined=FALSE,block="",color="classname",shape=NULL,labels=NULL,
        background=TRUE,palette=NULL,pointSize=4,labelSize=NULL,
        axisSize=NULL,titleSize=NULL)

# O2PLS
# Scatterplot of scores variables associated to common components
# Associated to first block
p1 <- plotRes(object=o2plsRes,comps=c(1,2),what="scores",type="common",
              combined=FALSE,block="expr",color="classname",shape=NULL,
              labels=NULL,background=TRUE,palette=NULL,pointSize=4,
              labelSize=NULL,axisSize=NULL,titleSize=NULL)
# Associated to second block
p2 <- plotRes(object=o2plsRes,comps=c(1,2),what="scores",type="common",
              combined=FALSE,block="mirna",color="classname",shape=NULL,
              labels=NULL,background=TRUE,palette=NULL,pointSize=4,
              labelSize=NULL,axisSize=NULL,titleSize=NULL)

# Combined plot of scores variables assocaited to common components
plotRes(object=o2plsRes,comps=c(1,1),what="scores",type="common",
        combined=TRUE,block="",color="classname",shape=NULL,
        labels=NULL,background=TRUE,palette=NULL,pointSize=4,
        labelSize=NULL,axisSize=NULL,titleSize=NULL)

# Loadings plot for individual components
# Separately for each block
p1 <- plotRes(object=discoRes,comps=c(1,2),what="loadings",type="individual",
              combined=FALSE,block="expr",color="classname",shape=NULL,
              labels=NULL,background=TRUE,palette=NULL,pointSize=4,
              labelSize=NULL,axisSize=NULL,titleSize=NULL)
p2 <- plotRes(object=discoRes,comps=c(1,2),what="loadings",type="individual",
              combined=FALSE,block="mirna",color="classname",shape=NULL,
              labels=NULL,background=TRUE,palette=NULL,pointSize=4,
              labelSize=NULL,axisSize=NULL,titleSize=NULL)

# Combined plot
plotRes(object=discoRes,comps=c(1,1),what="loadings",type="individual",
        combined=TRUE,block="",color="classname",shape=NULL,
        labels=NULL,background=TRUE,palette=NULL,pointSize=4,
        labelSize=NULL,axisSize=NULL,titleSize=NULL)

llrs/STATegRa documentation built on Nov. 18, 2017, 5:09 p.m.