summary.LexCA: Summary LexCA object

In Xplortext: Statistical Analysis of Textual Data

Summary LexCA object

Description

Summarizes LexCA objects

Usage

## S3 method for class 'LexCA'
summary(object, ncp=5, nb.dec = 3, ndoc=10, nword=10, nseg=10, 
 nsup=10, metaDocs=FALSE, metaWords=FALSE, file = NULL, ...)

Arguments

object	object of LexCA class
ncp	number of dimensions to be printed (by default 5)
nb.dec	number of decimal digits to be printed (by default 3)
ndoc	number of documents whose coordinates are listed (by default 10). Use ndoc="ALL" to have the results for all the documents. Use ndoc=0 or ndoc=NULL if the results for documents are not wanted.
nword	number of words whose coordinates are listed (by default 10). Use nword="ALL" to have the results for all the words. Use nword=0 or nword=NULL if the results for words are not wanted
nseg	number of repeated segments whose coordinates are listed (by default 10). Use nseg="ALL" to have the results for all the segments. Use nseg=0 or nseg=NULL if the results for segments are not wanted
nsup	number of supplementary elements whose coordinates are listed (by default 10). Use nsup="ALL" to have the results for all the elements. Use nsup=0 or nsup=NULL if the results for the supplementary elements are not wanted
metaDocs	axis by axis, the highest contributive documents are listed, separately for negative-part and positive-part documents; these documents have been identified in LexCA, taking into account lmd value (by default FALSE)
metaWords	axis by axis, the highest contributive words are listed, separately for negative-part and positive-part words; these words have been identified in LexCA, taking into account lmw value (by default FALSE)
file	a connection, or a character string naming the file to print to (csv format). If NULL (the default), the results are not printed in a file
...	further arguments passed from other methods

Author(s)

Ramón Alvarez-Esteban [e-mail], Monica Bécue-Bertaut, Josep-Antón Sánchez-Espigares

See Also

LexCA, print.LexCA, plot.LexCA

Examples

data(open.question)
res.TD<-TextData(open.question, var.text=c(9,10), Fmin=10, Dmin=10, stop.word.tm=TRUE)
res.LexCA<-LexCA(res.TD, lmd=1, lmw=1)
summary(res.LexCA)

Xplortext documentation built on Nov. 10, 2023, 1:06 a.m.