svs (version 3.0.0)

fast_sca: Simple Correspondence Analysis

Description

A fast procedure for computing simple correspondence analysis.

Usage

fast_sca(dat, transform = 1)

Arguments

dat

Input data: can be a table or a data frame (but the data frame must have only two columns).

transform

Numeric specification of the power transformation to be applied on the data.

Value

A list with components:

val

The eigenvalues or principal inertias, indicating how much each latent axis explains.

pos1

The coordinates of the first set of levels (viz. the row levels of a frequency table).

pos2

The coordinates of the second set of levels (viz. the column levels of a frequency table).

References

Greenacre, M. (2017) Correspondence analysis in practice, Third edition. Boca Raton: Chapman and Hall/CRC.

Examples

# NOT RUN {
SndT_Fra <- read.table(system.file("extdata", "SndT_Fra.txt", package = "svs"),
   header = TRUE, sep = "\t", quote = "\"", encoding = "UTF-8",
   stringsAsFactors = FALSE)
sca.SndT_Fra <- fast_sca(SndT_Fra)
sca.SndT_Fra
# }