summary.TextData function

Summary of TextData objects

Summarizes TextData objects. UTF-8

## 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)