Plots a lexical_classification object as a heat map Gantt plot with lexical_classification over time (measured in words) and lexical_classification scores per sentence. In the dotplot plot the black dots are the average lexical_classification per grouping variable.
bar.size: The size of the bars used in the Gantt plot.
low: The color to be used for lower values.
mid: The color to be used for mid-range values (default is a less striking color).
high: The color to be used for higher values.
ave.lexical_classification.shape: The shape of the average lexical_classification score used in the dot plot.
alpha: Transparency level of points (ranges between 0 and 1).
shape: The shape of the points used in the dot plot.
point.size: The size of the points used in the dot plot.
jitter: Amount of vertical jitter to add to the points.
nrow: 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.
na.rm: logical. Should missing values be removed?
order.by.lexical_classification: logical. If TRUE the group lexical_classification plot will be ordered by average lexical_classification score, otherwise alphabetical order is assumed.
plot: 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.
error.bars: logical. If TRUE error bars are added to the lexical_classification dot plot using the standard error of the mean lexical_classification score.
error.bar.height: The height of the error bar ends.
error.bar.size: The size/thickness of the error bars.
error.bar.color: The color of the error bars. If NULL each bar will be colored by grouping variable.
error.bar.alpha: The alpha level of the error bars.
``: ignored
Returns
Invisibly returns the ggplot2 objects that form the larger plot.