plot.TextData: Plot TextData objects

In Xplortext: Statistical Analysis of Textual Data

Plot TextData objects

Description

Draws the barcharts of the longest documents, most frequent words and segments from a TextData object.

Usage

## S3 method for class 'TextData'
plot(x, ndoc=25, nword=25, nseg=25, sel=NULL, ordFreq=TRUE, 
 stop.word.tm=FALSE, idiom="en", stop.word.user=NULL, theme=theme_bw(), title=NULL,
 xtitle=NULL, col.fill="grey", col.lines="black", text.size=12, freq=NULL, vline=NULL, 
 interact=FALSE, round.dec = 4,...) 

Arguments

x	object of TextData class
ndoc	number of documents in the barchart (by default 25)
nword	number of words in the barchart (by default 25)
nseg	number of segments in the barchart (by default 25)
sel	type of barchart (doc, word or seg for documents, words or repeated segments) (by default NULL and all he graphs are drawn)), see details
ordFreq	if ordFreq=TRUE, glossaries of words and repeated segments, are drawn in frequency order; if ordFreq=FALSE, glossaries are drown in alphabetic order (by default TRUE)
stop.word.tm	if TRUE, the tm stopwords (if the words are selected in TextData object) are not considered for the barchart (by default FALSE)
idiom	declared idiom for the textual column(s) (by default English "en", see IETF language in package NLP)
stop.word.user	the user's stopwords (if the words are selected in TextData object) are not considered for the barchart (by default NULL)
theme	theme settings (see ggplot2 package; by default theme_bw())
title	title of the graph (by default NULL and the title is automatically assigned)
xtitle	x title of the graph (by default NULL and the x title is automatically assigned)
col.fill	background color for the barChart bars (by default grey)
col.lines	lines color for the barChart bars (by default black)
text.size	text font size (by default 12)
freq	add frequencies to word and document barplots, see details (by default NULL)
vline	if "YES" or TRUE add vertical line to barplot, see details (by default NULL)
interact	if FALSE a ggplot graph, if TRUE an interactive plotly graph, see details (by default FALSE)
round.dec	number of decimals (by default 4)
...	further arguments passed to or from other methods...

Details

freq adds frequencies to barplot (by default NULL). If "YES" or TRUE displays the frequencies at the right of the bars at +5 position. Numerical values display the frequencies at the right positions (positive values) or at the left (negative values).

vline adds two vertical line to word and document barplot (by default NULL). If TRUE a first vertical row line is added at mean level computed from the selected items from TextData, and a second vertical blue line with the frequency mean of words/documents selected to plot in plot.TextData. If row and blue lines are the same, only blue line is shown. If vline is a number, a line is show with this value.

Barchart selected in sel argument (doc, word and/or repeated segments) is in ggplot format. Barchart is used with geom_bar function of ggplot package. If it is only one element in sel argument the plot can be saved in ggplot format: newobject <- plot(TextDataObject,sel="word")

Selection of docs, words or segments can be done by numbers sel=list(type="doc", select=c(1,2:4,6)) or names sel= list(type="doc", select=c("M31_55", "M>55")).

If interact, rank for words/docs/segments from TextData selection are shown.

Author(s)

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

See Also

TextData, print.TextData, summary.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"))
 plot(res.TD)

# Aggregate analysis
 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)
 plot(res.TD)

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