fast_lra: Logratio Analysis

In svs: Tools for Semantic Vector Spaces

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