powerHist: powerHist
In userfriendlyscience: Quantitative Analysis Made Accessible

Description Usage Arguments Value Author(s) Examples

powerHist generates a histogram with a density curve and a normal density curve.

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)

`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 the `ggplot` plot.

An object, with the following elements:

`input`	The input when the function was called.
`intermediate`	The intermediate numbers and distributions.
`dat`	The dataframe used to generate the plot.
`plot`	The histogram.