Usage
powerHist(vector, histColor = "#0000CC", distributionColor = "#0000CC", normalColor = "#00CC00", distributionLineSize = 1, normalLineSize = 1, histAlpha = 0.25, xLabel = NULL, yLabel = NULL, normalCurve = TRUE, breaks = 30, theme = dlvTheme(), rug = NULL, jitteredRug = TRUE, rugSides = "b", rugAlpha = .2, returnPlotOnly = FALSE)
Arguments
histColor
The colour to use for the histogram.
distributionColor
The colour to use for the density curve.
normalColor
The colour to use for the normal curve.
distributionLineSize
The line size to use for the distribution density curve.
normalLineSize
The line size to use for the normal curve.
histAlpha
Alpha value ('opaqueness', as in, versus transparency) of the histogram.
xLabel
Label to use on x axis.
yLabel
Label to use on y axis.
normalCurve
Whether to display the normal curve.
breaks
The number of breaks to use (this is equal to the number of bins minus one,
or in other words, to the number of bars minus one).
rug
Whether to add a rug (i.e. lines at the bottom that correspond to individual
datapoints.
jitteredRug
Whether to jitter the rug (useful for variables with several datapoints
sharing the same value.
rugSides
This is useful when the histogram will be rotated; for example, this can be
set to 'r' if the histogram is rotated 270 degrees.
rugAlpha
Alpha value to use for the rug. When there is a lot of overlap, this can help
get an idea of the number of datapoints at 'popular' values.
returnPlotOnly
Whether to return the usual powerHist
object that also contains
all settings and intermediate objects, or whether to only return the
ggplot
plot.