| summary.LexCA {Xplortext} | R Documentation |
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 ramon.alvarez@unileon.es, 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)