anglePlot: Angle plot

In PCADSC: Tools for Principal Component Analysis-Based Data Structure Comparisons

Description

Produce an angle plot from a full or partial PCADSC object, as obtained from a call to PCADSC. In either case, this PCADSC object must have a non-NULL anleInfo slot (see examples). The angle plot compares the eigenvalue- and loading patterns from PCA performed on two datasets that consist of different observations of the same variables.

Usage

anglePlot(x)

Arguments

x	A PCADSC or angleInfo object, as produced by PCADSC or doAngle, respectively.

See Also

PCADSC, doAngle

Examples

#load iris data
data(iris)

#Define grouping variable, grouping the observations by whether their species is
#Setosa or not
iris$group <- "setosa"
iris$group[iris$Species != "setosa"] <- "non-setosa"
iris$Species <- NULL

## Not run: 
#make a full PCADSC object, splitting the data by "group"
irisPCADSC <- PCADSC(iris, "group")

#make a partial PCADSC object from iris and fill out angleInfo in the next call
irisPCADSC2 <- PCADSC(iris, "group", doAngle = FALSE)
irisPCADSC2 <- doAngle(irisPCADSC2)

#make an angle plot
anglePlot(irisPCADSC)
anglePlot(irisPCADSC2)

## End(Not run)

#Only do angle information for a faster run-time
irisPCADSC_fast <- PCADSC(iris, "group", doCE = FALSE, doChroma = FALSE)
anglePlot(irisPCADSC_fast)

PCADSC documentation built on May 2, 2019, 1:09 p.m.