Plots a polarity_count object as a heat map Gantt plot with polarity over time (measured in words) and polarity scores per sentence. In the dotplot plot the black dots are the average polarity per grouping variable.
# S3 method for polarity_count
plot(
x,
bar.size = 5,
low = "blue",
mid = "grey99",
high = "red",
ave.polarity.shape = "+",
alpha = 1/4,
shape = 19,
point.size = 2.5,
jitter = 0.1,
nrow = NULL,
na.rm = TRUE,
order.by.polarity = TRUE,
plot = TRUE,
error.bars = TRUE,
error.bar.height = 0.5,
error.bar.size = 0.5,
error.bar.color = "black",
...
)Invisibly returns the ggplot2 objects that form the larger
plot.
The polarity_count object.
The size of the bars used in the Gantt plot.
The color to be used for lower values.
The color to be used for mid-range values (default is a less striking color).
The color to be used for higher values.
The shape of the average polarity score used in the dot plot.
Transparency level of points (ranges between 0 and 1).
The shape of the points used in the dot plot.
The size of the points used in the dot plot.
Amount of vertical jitter to add to the points.
The number of rows in the dotplot legend (used when the number of
grouping variables makes the legend too wide). If NULL no legend if
plotted.
logical. Should missing values be removed?
logical. If TRUE the group polarity plot
will be ordered by average polarity score, otherwise alphabetical order is
assumed.
logical. If TRUE the plot will automatically plot.
The user may wish to set to FALSE for use in knitr, sweave, etc.
to add additional plot layers.
logical. If TRUE error bars are added to the
polarity dot plot using the standard error of the mean polarity score.
The height of the error bar ends.
The size/thickness of the error bars.
The color of the error bars. If NULL each
bar will be colored by grouping variable.
ignored