plot.LexChar {Xplortext} | R Documentation |
Plot LexChar objects
Description
Draws the characteristic and anti-characteristic words of documents from a LexChar object.
Usage
## S3 method for class 'LexChar'
plot(x, char.negat=TRUE, col.char.posit="blue", col.char.negat="red",
col.lines="black", theme=theme_bw(), text.size=12, numr=1, numc=2, top=NULL,
max.posit=15, max.negat=15, type=c("CharWord","quanti","quali"),sel.var.cat="ALL",
txt.var.cat=NULL, sel.words="ALL",...)
Arguments
x |
object of LexChar class |
char.negat |
if TRUE, the anti-characteristic words are plotted (by default TRUE) |
col.char.posit |
color for the characteristic words (by default "blue") |
col.char.negat |
color for the anti-characteristic words (by default "red") |
col.lines |
color for the lines of barplot (by default "black") |
theme |
used to modify the theme settings by ggplot2 package (by default theme_bw()) |
text.size |
size of the font (by default 12) |
numr |
number of rows in each multiple graph (by default 1 row) |
numc |
number of columns in each multiple graph (by default 2 columns) |
top |
title of the graph (by default NULL) |
max.posit |
maximum number of characteristic words (by default 15) |
max.negat |
maximum number of anti-characteristic words (by default 15) |
type |
CharWord and draws the characteristic and anti-characteristic words; quanti draws characteristic words for all quantitative variables; quali draws only the words for one qualitative variable (by default CharWord) |
sel.var.cat |
name of contextual quantitative and/or qualitative contextual variables |
txt.var.cat |
new names of each category or quantitative variable (by default NULL |
sel.words |
words selected to plot if its p-value is less than prob (by default ALL |
... |
further arguments passed to or from other methods... |
Author(s)
Ramón Alvarez-Esteban ramon.alvarez@unileon.es, Monica Bécue-Bertaut, Josep-Anton Sánchez-Espigares
See Also
LexChar
, print.LexChar
, summary.LexChar
Examples
data(open.question)
res.TD<-TextData(open.question, var.text=c(9,10), var.agg="Gen_Edu", Fmin=10, Dmin=10,
remov.number=TRUE, stop.word.tm=TRUE)
LD<-LexChar(res.TD,maxCharDoc = 0)
plot(LD)