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rcompanion (version 1.4.0)

plotNormalDensity: Density plot with a normal curve

Description

Produces a density plot for a vector of values and adds a normal curve with the same mean and standard deviation. The plot can be used to quickly compare the distribution of data to a normal distribution.

Usage

plotNormalDensity(x, col1 = "white", col2 = "gray", col3 = "blue", border = NA, main = "", lwd = 2, length = 1000, adjust = 1, bw = "nrd0", kernel = "gaussian", ...)

Arguments

x
A vector of values.
col1
The color of the density plot. Usually not visible.
col2
The color of the density polygon.
col3
The color of the normal line.
border
The color of the border around the density polygon.
main
The title displayed for the plot.
lwd
The width of the line in the plot.
length
The number of points in 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 plot.

Value

Produces a plot. Returns nothing.

Details

The function plots a polygon based on the density function. The normal curve has the same mean and standard deviation as the values in the vector.

References

http://rcompanion.org/handbook/I_01.html

See Also

plotNormalHistogram plotDensityHistogram

Examples

Run this code
### Plot of residuals from a model fit with lm
data(Catbus)
model = lm(Steps ~ Sex + Teacher,
           data = Catbus)
 plotNormalDensity(residuals(model))          

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