hcsrt: Homocedasticity test
In inecolr: Modeling and Plotting for Ecologist
hcsrt R Documentation
Homocedasticity test
Description
Test of homocedasticity for lm glm and glmer models based on the trend of the
squared residuals as a function of the fitted values
Usage
hcsrt(M)
Arguments
M
A lm, glm or glmer model.
Value
Returns the ANOVA table for the test. Nonsignificant effects mean there is no
evidence to reject the null hypothesis that variability is the same across the
fitted values range.
Author(s)
Guevara, R., roger.guevara@inecol.mx
References
Rohlf, F. (1981). Biometry the principles and practice of statistics in
biological research.
Zar, J. H. (1999). Biostatistical analysis. Pearson Education India.
Examples
y <- sort(rnorm(20, 5, 2))
x <- c(1:20)
M <- lm(y~x)
hcsrt(M)
inecolr documentation built on June 8, 2025, 11:26 a.m.
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| hcsrt | R Documentation |
Homocedasticity test
Description
Test of homocedasticity for lm glm and glmer models based on the trend of the squared residuals as a function of the fitted values
Usage
hcsrt(M)
Arguments
M |
A lm, glm or glmer model. |
Value
Returns the ANOVA table for the test. Nonsignificant effects mean there is no evidence to reject the null hypothesis that variability is the same across the fitted values range.
Author(s)
Guevara, R., roger.guevara@inecol.mx
References
Rohlf, F. (1981). Biometry the principles and practice of statistics in biological research. Zar, J. H. (1999). Biostatistical analysis. Pearson Education India.
Examples
y <- sort(rnorm(20, 5, 2))
x <- c(1:20)
M <- lm(y~x)
hcsrt(M)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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