pca: PCA & Group plot

In hyunsooseol/snowCluster: Multivariate Analysis

PCA & Group plot

Description

PCA & Group plot

Usage

pca(
  data,
  mode = "simple",
  labels,
  vars,
  eigen = FALSE,
  plot = FALSE,
  plot1 = FALSE,
  plot2 = FALSE,
  vars1,
  facs,
  plot3 = FALSE,
  plot4 = FALSE,
  width = 500,
  height = 500,
  width1 = 500,
  height1 = 500,
  width2 = 500,
  height2 = 500,
  width3 = 500,
  height3 = 500,
  width4 = 500,
  height4 = 500
)

Arguments

data	The data as a data frame.
mode	.
labels	.
vars	.
eigen	.
plot	.
plot1	.
plot2	.
vars1	.
facs	.
plot3	.
plot4	.
width	.
height	.
width1	.
height1	.
width2	.
height2	.
width3	.
height3	.
width4	.
height4	.

Value

A results object containing:

results$instructions					a html
results$eigen					a table
results$plot					an image
results$plot1					an image
results$plot2					an image
results$plot3					an image
results$plot4					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$eigen$asDF

as.data.frame(results$eigen)

hyunsooseol/snowCluster documentation built on April 5, 2025, 2:06 a.m.