MBplotVars: Customizable plots of variables related information

In MBAnalysis: Multiblock Exploratory and Predictive Data Analysis

Customizable plots of variables related information

Description

Plots variables related information of MBPCA, ComDim, MBPLS or MBWCov with several options of customization.

Usage

MBplotVars(
  res,
  axes = c(1, 2),
  which = ifelse(res$call$scale, "correlation", "loading"),
  block = 0,
  select = 0,
  title = NULL,
  size = 2.25
)

Arguments

res	An object resulting from MBPCA, ComDim, MBPLS or MBWCov.
axes	Which dimensions should be plotted?
which	Either "correlation" or "loading".
block	Selection of variables by blocks. A number or integer, possibly a vector, corresponding to the index of the blocks from which the variables should be plotted. For MBPLS and MBWCov the Y response block corresponds to the index length(res$call$size.block)+1. By default, all variables of all blocks are plotted. Only one of block and select can differ from 0 (the default) both at the same time.
select	Selection of variables by index. A number or integer, possibly a vector, corresponding to the index of the variables that should be plotted. For MBPLS and MBWCov the Y variables index start from ncol(res$call$X)+1. By default, all variables of all blocks are plotted. Only one of block and select can differ from 0 (the default) both at the same time.
title	An optional title to be added to the plot.
size	The overall size of labels, points, etc.

Value

The required plot.

See Also

plot.MBPCA plot.ComDim plot.MBPLS plot.MBWCov

Examples

# Unsupervised example

data(ham)
X=ham$X
block=ham$block
res.mbpca <- MBPCA(X,block, name.block=names(block))
MBplotVars(res.mbpca)

# Supervised example

data(ham)
X=ham$X
block=ham$block
Y=ham$Y
res.mbpls <- MBPLS(X, Y, block, name.block=names(block))
MBplotVars(res.mbpls)

MBAnalysis documentation built on Oct. 24, 2023, 5:07 p.m.