score.pca: Graphs to Analyse a factor in PCA

In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences

Description

performs the canonical graph of a Principal Component Analysis.

Usage

## S3 method for class 'pca'
score(x, xax = 1, which.var = NULL, mfrow = NULL, csub = 2, 
    sub = names(x$tab), abline = TRUE, ...)

Arguments

x	an object of class pca
xax	the column number for the used axis
which.var	the numbers of the kept columns for the analysis, otherwise all columns
mfrow	a vector of the form "c(nr,nc)", otherwise computed by a special own function n2mfrow
csub	a character size for sub-titles, used with par("cex")*csub
sub	a vector of string of characters to be inserted as sub-titles, otherwise the names of the variables
abline	a logical value indicating whether a regression line should be added
...	further arguments passed to or from other methods

Author(s)

Daniel Chessel

Examples

data(deug)
dd1 <- dudi.pca(deug$tab, scan = FALSE)
score(dd1)
 
# The correlations are :
dd1$co[,1]
# [1] 0.7925 0.6532 0.7410 0.5287 0.5539 0.7416 0.3336 0.2755 0.4172

Example output

[1] -0.7924753 -0.6531896 -0.7410261 -0.5287294 -0.5538660 -0.7416171 -0.3336153
[8] -0.2755026 -0.4171874

ade4 documentation built on May 2, 2019, 5:50 p.m.