Soft Non-numeric Occurrence Estimation (SNOE) plot

Usage

snoe_plot(
  x,
  codes = ".*",
  matchRegexAgainstPaths = TRUE,
  estimateWithin = NULL,
  title = "SNOE plot",
  ggplot2Theme = ggplot2::theme_minimal(),
  greyScale = FALSE,
  colors = c("#0072B2", "#C0C0C0"),
  greyScaleColors = c("#808080", "#C0C0C0"),
  silent = rock::opts$get("silent")
)

Arguments

x: A parsed source(s) object.
codes: A regular expression to select codes to include, or, alternatively, a character vector with literal code idenfitiers.
matchRegexAgainstPaths: Whether to match the codes regular expression against the full code paths or only against the code identifier.
estimateWithin: The column specifying within what to count.
title: Title of the plot
ggplot2Theme: Can be used to specify theme elements for the plot.
greyScale: Whether to produce the plot in color (FALSE) or greyscale (TRUE).
colors, greyScaleColors: The (two) colors to use for the color and greyscale versions of the SNOE plot.
silent: Whether to be chatty or silent

Value

a ggplot2::ggplot().

Examples

### Get path to example source
examplePath <-
  system.file("extdata", package="rock");

### Get a path to one example file
exampleFile <-
  file.path(examplePath, "example-3.rock");

### Load example source
loadedExample <- rock::parse_source(exampleFile);

### Show code occurrence estimates
rock::snoe_plot(
  loadedExample
);


### Load two example sources
loadedExamples <- rock::parse_sources(
  examplePath,
  regex = "example-[34].rock"
);

rock::snoe_plot(
  loadedExamples
);