qdap (version 2.3.0)

plot.lexical_classification: Plots a lexical_classification Object

Description

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.

Usage

# S3 method for lexical_classification
plot(x, bar.size = 5, low = "blue",
  mid = "grey99", high = "red", ave.lexical_classification.shape = "+",
  alpha = 1/4, shape = 19, point.size = 2.5, jitter = 0.1,
  nrow = NULL, na.rm = TRUE, order.by.lexical_classification = TRUE,
  plot = TRUE, error.bars = TRUE, error.bar.height = 0.5,
  error.bar.size = 0.5, error.bar.color = "black", error.bar.alpha = 0.6,
  ...)

Arguments

x

The lexical_classification object.

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

Value

Invisibly returns the ggplot2 objects that form the larger plot.