plot.SentimentDictionaryWeighted {SentimentAnalysis} | R Documentation |
KDE plot of estimated coefficients
Description
Function performs a Kernel Density Estimation (KDE) of the coefficients and then
plot these using ggplot
. This type of plot allows to
inspect whether the distribution of coefficients is skew. This can reveal if there
are more positive terms than negative or vice versa.
Usage
## S3 method for class 'SentimentDictionaryWeighted'
plot(x, color = "gray60", theme = ggplot2::theme_bw(), ...)
Arguments
x |
Dictionary of class |
color |
Color for filling the density plot (default: gray color) |
theme |
Visualization theme for |
... |
Additional parameters passed to function. |
Value
Returns a plot of class ggplot
See Also
plotSentiment
and plotSentimentResponse
for further plotting options
Examples
d <- SentimentDictionaryWeighted(paste0(character(100), 1:100), rnorm(100), numeric(100))
plot(d)
# Change color in plot
plot(d, color="red")
library(ggplot2)
# Extend plot with additional layout options
plot(d) + ggtitle("KDE plot")
plot(d) + theme_void()
[Package SentimentAnalysis version 1.3-5 Index]