jaspHistogram: Histograms and Density plots for JASP

In jasp-stats/jaspGraphs: Custom Graphs for JASP

Histograms and Density plots for JASP

Description

A plot histogram with three components. (1) A histogram, which can be tweaks with the same settings as hist. (2) A density line, which can optionally be shaded. (3) rugs underneath the figure. Each of these components can be enabled (or disabled) individually. Colors are taken from graphOptions("palette").

Usage

jaspHistogram(
  x,
  xName,
  groupingVariable = NULL,
  groupingVariableName,
  histogram = TRUE,
  histogramPosition = "dodge",
  binWidthType = c("doane", "fd", "scott", "sturges", "manual"),
  numberOfBins = NA,
  rugs = FALSE,
  rugsColor = FALSE,
  density = FALSE,
  densityColor = FALSE,
  densityShade = FALSE,
  densityShadeAlpha = 0.6,
  densityLineWidth = 1,
  hideYAxisLabels = density
)

Arguments

x	numeric, the data to show a histogram for
xName	string, the title on the x-axis
groupingVariable	factor, show histograms and/ or densities for individual groups?
groupingVariableName	character, legend name of the grouping variable.
histogram	logical, should a histogram be shown?
histogramPosition	character, see argument position in geom_histogram.
binWidthType	string, type of bindwidth, matches the string values that can be passed to hist.
numberOfBins	if binWidthType is set to "manual", this value determines the number of bins.
rugs	logical, should rugs be shown on the x-axis?
rugsColor	logical, should the rugs be colored?
density	logical, should a density be superimposed on the plot?
densityColor	logical, should the density be colored?
densityShade	logical, should the area underneath the density be shaded?
densityShadeAlpha	numeric in [0, 1], transparancy for the shaded density.
densityLineWidth	positive number, the line width of the superimposed density.
hideYAxisLabels	logical, should the y-axis line be hidden? Defaults to showDensity.

Examples

set.seed(1234)

# some random data
x <- rnorm(1e3) + rnorm(1e3, 1, .1) - rgamma(1e3, 10, 5)

# individual plot components can be enabled or disabled
jaspHistogram(x, "random data", histogram = TRUE,  density = FALSE, rugs = FALSE) +
  ggplot2::ggtitle("default options")
jaspHistogram(x, "random data", histogram = TRUE,  density = TRUE,  rugs = FALSE)
jaspHistogram(x, "random data", histogram = TRUE,  density = TRUE,  rugs = TRUE)
jaspHistogram(x, "random data", histogram = TRUE,  density = FALSE, rugs = TRUE)
jaspHistogram(x, "random data", histogram = FALSE, density = FALSE, rugs = TRUE)
jaspHistogram(x, "random data", histogram = FALSE, density = FALSE, rugs = FALSE) +
  ggplot2::ggtitle("this is a bit boring though")

# histogram style can be tweaked
jaspHistogram(x, binWidthType = "sturges") + ggplot2::ggtitle("breaks: sturges")
jaspHistogram(x, binWidthType = "manual", numberOfBins = 250) +
  ggplot2::ggtitle("breaks: manual")

# split by group
groupingVariable <- gl(3, 333, length = 1e3)
groupingVariableName <- "group name"

jaspHistogram(x, "random data", groupingVariable, groupingVariableName)
jaspHistogram(x, "random data", groupingVariable, groupingVariableName,
              histogramPosition = "identity") # stacked
jaspHistogram(x, "random data", groupingVariable, groupingVariableName, density = TRUE,
              rugs = TRUE, rugsColor = TRUE)
jaspHistogram(x, "random data", groupingVariable, groupingVariableName, density = TRUE,
              rugs = TRUE, hideYAxisLabels = FALSE)
jaspHistogram(x, "random data", groupingVariable, groupingVariableName, density = TRUE,
              densityColor = TRUE, hideYAxisLabels = FALSE, densityLineWidth = 2)

# Can also be used to make fancy density plots
data("mtcars")
graphOptions(palette = "viridis")
jaspHistogram(mtcars$drat, "drat", factor(mtcars$cyl), "cyl",
              histogram = FALSE, hideYAxisLabels = FALSE,
              density = TRUE, densityColor = TRUE, densityShade = TRUE, densityShadeAlpha = 0.45
)
graphOptions(palette = "colorblind")

jasp-stats/jaspGraphs documentation built on April 20, 2024, 4:13 p.m.