CA: Simple (efficient) correspondence analysis

In lingeringcode/tweetscoresmod: Tools for the Estimation of Ideology Scores with Twitter Data

Description

CA is a modified version of the ca function in the ca package that consumes less memory in the computation of simple correspondence analysis.

Usage

CA(obj, nd = NA, suprow = NA, supcol = NA, subsetrow = NA,
  subsetcol = NA, verbose = TRUE)

Arguments

obj	Matrix with two-way frequency table
nd	Number of dimensions to be included in the output; if NA the maximum possible dimensions are included.
suprow	Indices of supplementary rows.
supcol	Indices of supplementary columns.
subsetrow	Row indices of subset.
subsetcol	Column indices of subset.
verbose	shows additional ouput about token usage in console

Author(s)

Michael Greenacre, Oleg Nenadic, Michael Friendly (Modified by Pablo Barbera)

lingeringcode/tweetscoresmod documentation built on Feb. 18, 2020, 5:28 p.m.