multiblock_plots: Plot Functions for Multiblock Objects

In multiblock: Multiblock Data Fusion in Statistics and Machine Learning

Plot Functions for Multiblock Objects

Description

Plotting procedures for multiblock objects.

Usage

## S3 method for class 'multiblock'
scoreplot(
  object,
  comps = 1:2,
  block = 0,
  labels,
  identify = FALSE,
  type = "p",
  xlab,
  ylab,
  main,
  ...
)

## S3 method for class 'multiblock'
loadingplot(
  object,
  comps = 1:2,
  block = 0,
  scatter = TRUE,
  labels,
  identify = FALSE,
  type,
  lty,
  lwd = NULL,
  pch,
  cex = NULL,
  col,
  legendpos,
  xlab,
  ylab,
  main,
  pretty.xlabels = TRUE,
  xlim,
  ...
)

loadingweightplot(object, main = "Loading weights", ...)

## S3 method for class 'multiblock'
biplot(
  x,
  block = 0,
  comps = 1:2,
  which = c("x", "y", "scores", "loadings"),
  var.axes = FALSE,
  xlabs,
  ylabs,
  main,
  ...
)

corrplot(object, ...)

## Default S3 method:
corrplot(object, ...)

## S3 method for class 'mvr'
corrplot(object, ...)

## S3 method for class 'multiblock'
corrplot(
  object,
  comps = 1:2,
  labels = TRUE,
  col = 1:5,
  plotx = TRUE,
  ploty = TRUE,
  blockScores = FALSE,
  ...
)

Arguments

object	multiblock object.
comps	integer vector giving components, within block, to plot.
block	integer/character for block selection.
labels	character indicating if "names" or "numbers" should be plot symbols (optional).
identify	logical for activating identify to interactively identify points.
type	character for selecting type of plot to make. Defaults to "p" (points) for scatter plots and "l" (lines) for line plots.
xlab	character text for x labels.
ylab	character text for y labels.
main	character text for main header.
...	Not implemented.
scatter	logical indicating if a scatterplot of loadings should be made (default = TRUE).
lty	Vector of line type specifications (see par for details).
lwd	numeric vector of line width specifications.
pch	Vector of point specifications (see points for details).
cex	numeric vector of plot size expansions (see par for details).
col	integer vector of symbol/line colours (see par for details).
legendpos	character indicating legend position (if scatter is FALSE), e.g. legendpos = "topright".
pretty.xlabels	logical indicating if xlabels should be more nicely plotted (default = TRUE).
xlim	numeric vector of length two, with the x limits of the plot (optional).
x	multiblock object.
which	character for selecting type of biplot ("x" = default, "y", "scores", "loadings").
var.axes	logical indicating if second axes of a biplot should have arrows.
xlabs	character vector for labelling first set of biplot points (optional).
ylabs	character vector for labelling second set of biplot points (optional).
plotx	locical or integer/character. Whether to plot the X correlation loadings, optionally which block(s). Defaults to TRUE.
ploty	logical. Whether to plot the Y correlation loadings. Defaults to TRUE.
blockScores	logical. Correlation loadings from blockScores (default = FALSE).

Details

Plot functions for scores, loadings and loading.weights based on the functions found in the pls package.

Value

These plotting routines only generate plots and return no values.

See Also

Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex. Common functions for computation and extraction of results are found in multiblock_results.

Examples

data(wine)
sc <- sca(wine[c('Smell at rest', 'View', 'Smell after shaking')], ncomp = 4)
loadingplot(sc, block = 1, labels = "names", scatter = TRUE)
scoreplot(sc, labels = "names")
corrplot(sc)

data(potato)
so <- sopls(Sensory ~ NIRraw + Chemical + Compression, data=potato, ncomp = c(2,2,2), 
            max_comps = 6, validation = "CV", segments = 10)
scoreplot(so, ncomp = c(2,1), block = 3, labels = "names")
corrplot(pcp(so, ncomp = c(2,2,2)))

multiblock documentation built on Nov. 18, 2023, 5:06 p.m.