Histogram with a density curve

Produces a histogram for a vector of values and adds a density curve of the distribution.

Usage

plotDensityHistogram(
  x,
  prob = FALSE,
  col = "gray",
  main = "",
  linecol = "black",
  lwd = 2,
  adjust = 1,
  bw = "nrd0",
  kernel = "gaussian",
  ...
)

Arguments

x: A vector of values.
prob: If FALSE, then counts are displayed in the histogram. If TRUE, then the density is shown.
col: The color of the histogram bars.
main: The title displayed for the plot.
linecol: The color of the line in the plot.
lwd: The width of the line in the plot.
adjust: Passed to density. A lower value makes the density plot smoother.
bw: Passed to density.
kernel: Passed to density.
...: Other arguments passed to hist.

Value

Produces a plot. Returns nothing.

Details

The function relies on the hist function. The density curve relies on the density function.

References

https://rcompanion.org/handbook/C_04.html

Author

Salvatore Mangiafico, mangiafico@njaes.rutgers.edu

Examples

### Plot of residuals from a model fit with lm
data(Catbus)
model = lm(Steps ~ Gender + Teacher,
           data = Catbus)
plotDensityHistogram(residuals(model))