arch_PCA: Principal Component Analysis.

In esteful/ArchFlow: Archaeometric Analysis of Ceramics

Description

Plots Principal Component Analysis of alr transformed data.

Usage

arch_PCA(
  df_chem,
  df_raw,
  nplot = nplot,
  alr = TRUE,
  printPCA = FALSE,
  labels = FALSE,
  shape_cat_number = 15,
  frame = TRUE,
  PCx = 1,
  PCy = 2,
  nshapes = 10,
  label.size = 3
)

Arguments

df_chem	chemical data
df_raw	categorical data and chemical data
nplot	number of plots to display
alr	when TRUE applies additive log ratio transformations (default = TRUE)
printPCA	when TRUE creates a pdf file with the PCA
labels	turn TRUE to display labels
shape_cat_number	from 1 to 15, the number of categories to display with
frame	= TRUE,
PCx	= 1,
PCy	=2
nshapes	Chose from 1-25 shapes to display all equally, default= 10.
label.size	= 3

Value

A principal component analysis plot.

esteful/ArchFlow documentation built on Dec. 20, 2021, 6:40 a.m.