Yes_PCA: PowerPont reporting of a PCA

In MaximeSaland/YesSiR: What the Package Does (One Line, Title Case)

Description

PowerPont reporting of a PCA

Usage

Yes_PCA(
  res,
  yes_study_name = "PCA + HCPC",
  path = getwd(),
  file.name = "PCA_results.pptx",
  x1 = 1,
  x2 = 2,
  proba = 0.05,
  size_tab = 10
)

Arguments

res	a PCA object
yes_study_name	title displayed on the first slide
path	PowerPoint file to be created
file.name	name of the PowerPoint file
x1	component to plot on the x-axis
x2	component to plot on the y-axis
proba	the significance threshold considered to characterized the category (by default 0.05)
size_tab	maximum number of rows of a table per slide

Value

Returns a .pptx file

Examples

## Not run: 
library(FactoMineR)
data(decathlon)
res.pca <- FactoMineR::PCA(decathlon, quanti.sup = 11:12, quali.sup=13)
# Create the PowerPoint in the current working directory
Yes_PCA(res.pca)

## End(Not run)

MaximeSaland/YesSiR documentation built on Dec. 17, 2021, 3:19 a.m.