View source: R/jaspHistogram.R
jaspHistogram | R Documentation |
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")
.
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
)
jaspHistogramBinWidth(
x,
binWidthType = c("doane", "fd", "scott", "sturges", "manual"),
numberOfBins = NA
)
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 |
binWidthType |
string, type of bindwidth, matches the string values that can be passed to |
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 |
a numeric value for the number of bins or a string for the type of the bins.
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")
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