e_pcabi: PCA biplot

In PROMiDAT/discoveR: Exploratory Data Analysis System

PCA biplot

Description

PCA biplot

Usage

e_pcabi(
  modelo,
  axes = c(1, 2),
  colorInd = "steelblue",
  colorVar = "forestgreen",
  cos2Ind = 0,
  cos2Var = 0,
  colorIndCos = "firebrick",
  colorVarCos = "darkorchid",
  titulos = c("Bien Representados", "Mal Representados"),
  etq = F
)

Arguments

modelo	an object of class PCA [FactoMineR].
axes	a numeric vector of length 2 specifying the dimensions to be plotted.
colorInd	a color for the individuals well represented.
colorVar	a color for the variables well represented.
cos2Ind	a numeric value from 0 to 1 specifying the quality of the individuals.
cos2Var	a numeric value from 0 to 1 specifying the quality of the variables.
colorIndCos	a color for the individuals badly represented.
colorVarCos	a color for the variables badly represented.
titulos	a character vector of length 2 specifying the titles to use on legend.
etq	a boolean, whether to add label to graph or not.

Value

echarts4r plot

Author(s)

Diego Jimenez <[e-mail]>

Examples

p <- FactoMineR::PCA(iris[, -5], graph = FALSE)
e_pcabi(p)

PROMiDAT/discoveR documentation built on March 2, 2023, 6:58 p.m.