fast_lra: Logratio Analysis
In svs: Tools for Semantic Vector Spaces

fast_lra

R Documentation

Logratio Analysis

Description

A fast procedure for computing logratio analysis.

Usage

fast_lra(dat, base = exp(1))

Arguments

`dat`	Input data: can be a table or a data frame (but the data frame must have only two columns).
`base`	Numeric specification of the base with respect to which logarithms are computed.

Value

A list with components:

`val`	The eigenvalues (i.e. squared singular values), 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. (2019) Compositional data analysis in practice. Boca Raton: Chapman and Hall/CRC.

Van den Boogaart, K. G. and R. Tolosana-Delgado (2013) Analyzing compositional data with R. Berlin: Springer.

Examples

SndT_Fra <- read.table(system.file("extdata", "SndT_Fra.txt", package = "svs"),
   header = TRUE, sep = "\t", quote = "\"", encoding = "UTF-8",
   stringsAsFactors = FALSE)
lra_SndT_Fra <- fast_lra(SndT_Fra)
lra_SndT_Fra

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