powerHist
powerHist generates a histogram with a density curve and a normal density curve.
 Keywords
 utilities
Usage
powerHist(vector, histColor = "#0000CC",
distributionColor = "#0000CC",
normalColor = "#00CC00", distributionLineSize = 1,
normalLineSize = 1, histAlpha = 0.25, xLabel = NULL,
yLabel = NULL, normalCurve = TRUE, distCurve = TRUE,
breaks = 30, theme = dlvTheme(),
rug = NULL, jitteredRug = TRUE, rugSides = "b",
rugAlpha = .2, returnPlotOnly = FALSE)
Arguments
 vector
 A numeric vector.
 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.
 distCurve
 Whether to display the curve showing the distribution of the observed data.
 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).
 theme
 The theme to use.
 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 theggplot
plot.
Value
An object, with the following elements:
Examples
powerHist(mtcars$mpg)
Community examples
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