fast_sca: Simple Correspondence Analysis

In svs: Tools for Semantic Vector Spaces

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 Nov. 10, 2020, 1:09 a.m.