qqgauss: Function for producing a QQ plot for a Gaussian probability density function.

Description

The function creates a QQ plot for a given random variable y and a Gaussian probability density function. This graph is a scatterplot between the sample quantiles of the data and the theoretical quantiles, following the Gaussian pdf.

Usage

qqgauss(y = y, linecol = "red", xlab = NULL, ylab = NULL, eng = TRUE, ...)

Value

The function returns the above described graph.

Arguments

y: A numeric vector representing the Y-random variable
linecol: A string specifying the 1:1 straight-line color. The default is set to "red".
xlab: (optional) A string specifying X-axis label. If not provide it, uses the default setting.
ylab: (optional) A string specifying Y-axis label. If not provide it, uses the default setting.
eng: logical; if TRUE (by default), the language of the statistics will be in English; if "FALSE" will be in Spanish.
...: other graphical parameters (see par and section 'Details' below).

Author

Christian Salas-Eljatib

Details

Notice that the reference pdf model is the Gaussian one, i.e., uses the qnorm() function.

References

Salas-Eljatib C. 2021. Análisis de datos con el programa estadístico R: una introducción aplicada. Ediciones Universidad Mayor. Santiago, Chile. 170 p. https://eljatib.com

Examples

Run this code

df <- datana::maple
head(df)
m1<-lm(leaf~dbh,data=df)
# Example 1, a residual plot
qqgauss(residuals(m1))

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