fast_sca: Simple Correspondence Analysis
In svs: Tools for Semantic Vector Spaces

fast_sca

R Documentation

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

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

svs documentation built on June 24, 2024, 5:07 p.m.