HistDAWass (version 1.0.8)

WH.plot_multiple_indivs: Plot histograms of individuals after a Multiple factor analysis of Histogram Variables

Description

(Beta version) The function plots histogram data of the individuals for a particular variable on a factorial palne after a Multiple factor analysis.

Usage

WH.plot_multiple_indivs(
  data,
  res,
  axes = c(1, 2),
  indiv = 0,
  var = 1,
  strx = 0.1,
  stry = 0.1,
  HISTO = TRUE,
  coor = 0,
  stat = "mean"
)

Value

a plot of class ggplot

Arguments

data

a MatH object

res

Results from WH.MultiplePCA.

axes

A list of integers, the new factorial axes c(1,2) are the default.

indiv

A list of objects (rows) of data to plot. Default=0 all the objects of data.

var

An integer indicating an original histogrma variable to plot.

strx

a resizing factor for the domain of histograms (default=0.1 means that each distribution has a support that is one tenth of the spread of the x axis)

stry

a resizing factor for the density of histograms (default=0.1 means that each distribution has a density that is one tenth of the spread of the y axis)

HISTO

a logical value. Default=TRUE plots histograms, FALSE plot smooth densities.

coor

(optional) if 0 (Default) takes the coordinates in res, if a a matrix is passed the coordinates are those passed

stat

(optional) if 'mean'(Default) a plot of individuals labeled by the means is produced. Otherwise if 'std', 'skewness' or 'kurtosis', data are labeled with this statistic.

Examples

# Do a MultiplePCA on the BLOOD dataset
if (FALSE) {
#' results=WH.MultiplePCA(BLOOD,list.of.vars = c(1:3))
# Plot histograms of variable 1 of BLOOD dataset on the first
# factorial plane showing histograms
WH.plot_multiple_indivs(BLOOD, results,
  axes = c(1, 2), var = 1, strx = 0.1,
  stry = 0.1, HISTO = TRUE
)
# Plot histograms of variable 1 of BLOOD dataset on the first
# factorial plane showing densities

WH.plot_multiple_indivs(BLOOD, results,
  axes = c(1, 2), var = 1, strx = 0.1,
  stry = 0.1, HISTO = FALSE
)
}