SentimentAnalysis (version 1.1-0)

plotSentimentResponse: Scatterplot with trend line between sentiment and response

Description

Generates a scatterplot where points pairs of sentiment and the response variable. In addition, the plot addas a trend line in the form of a generalized additivie model (GAM). Other smoothing variables are possible based on geom_smooth. This functions is helpful for visualization the relationship between computed sentiment scores and the gold standard.

Usage

plotSentimentResponse(sentiment, response, smoothing = "gam",
  xlab = "Sentiment", ylab = "Response")

Arguments

sentiment

data.frame with sentiment scores

response

Vector with response variables of the same length

smoothing

Smoothing functionality. Default is smoothing="gam" to utilize a generalized additive model (GAM). Other options can be e.g. a linear trend line (smoothing="lm"); see geom_smooth for a full list of options.

xlab

Description on x-axis (default: "Sentiment").

ylab

Description on y-axis (default: "Sentiment").

Value

Returns a plot of class ggplot

See Also

plotSentiment and plot.SentimentDictionaryWeighted for further plotting options

Examples

sentiment <- data.frame(Dictionary=runif(10))
response <- sentiment[[1]] + rnorm(10)

plotSentimentResponse(sentiment, response)

# Change x-axis
plotSentimentResponse(sentiment, response, xlab="Tone")

library(ggplot2)
# Extend plot with additional layout options
plotSentimentResponse(sentiment, response) + ggtitle("Scatterplot")
plotSentimentResponse(sentiment, response) + theme_void()