plot.lexical_classification: Plots a lexical_classification Object

In trinker/qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

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 class '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.

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.