| summary.TextData {Xplortext} | R Documentation |
Summary of TextData objects
Description
Summarizes TextData objects.
Usage
## S3 method for class 'TextData'
summary(object, ndoc=10, nword=50, nseg=50, ordFreq = TRUE, file = NULL, sep=";",
info=TRUE,...)
Arguments
object |
object of TextData class |
ndoc |
statistical report on the first ndoc documents (by default 10). Use ndoc="ALL" to have the results for all the documents. Use ndoc=0 or ndoc=NULL if the results on the documents are not wanted |
nword |
index of the nword first words (by default 50). Use nword="ALL" to have the complete index. Use nword=0 or nword=NULL if the results on the words are not wanted |
nseg |
index of the nfirst nseg repeated segments (by default 50). Use nseg="ALL" to have the complete list of segments. Use nseg=0 or nseg=NULL if the results on the segments are not wanted |
ordFreq |
if ordFreq=TRUE, glossaries of words and repeated segments, are listed in frequency order; if ordFreq=FALSE, glossaries are listed in alphabetic order (by default TRUE) |
file |
a connection, or a character string naming the file to print to in csv format. If NULL (the default), the results are not printed in a file |
sep |
character string to insert between the objects to print (if the argument file is not NULL) (by default ";") |
info |
if TRUE the selection criteria of the words are shown(by default TRUE) |
... |
further arguments passed to or from other methods,... |
Author(s)
Ramón Alvarez-Esteban ramon.alvarez@unileon.es, Monica Bécue-Bertaut, Josep-Antón Sánchez-Espigares
See Also
TextData, print.TextData, plot.TextData
Examples
# Non aggregate analysis
data(open.question)
res.TD<-TextData(open.question, var.text=c(9,10), remov.number=TRUE, Fmin=10, Dmin=10,
stop.word.tm=TRUE, context.quali=c("Gender","Age_Group","Education"), context.quanti=c("Age"))
summary(res.TD)
# Aggregate analysis and repeated segments
data(open.question)
res.TD<-TextData(open.question, var.text=c(9,10), var.agg="Gen_Age", remov.number=TRUE,
Fmin=10, Dmin=10, stop.word.tm=TRUE, context.quali=c("Gender","Age_Group","Education"),
context.quanti=c("Age"), segment=TRUE)
summary(res.TD)