ks.rnorte {inecolr} | R Documentation |
Kolmogrov-Smirnov model's Residuals Normality Test
Description
Performed a normality test of the model residuals agains a randon normal sample with as many data as the length of the residuals, mean zero and standar deviation equals to that of the residuals
Usage
ks.rnorte(M, quantiles=TRUE)
Arguments
M |
M, a linear or glm model. |
quantiles |
quantiles, logical weather the test is based on quentiles rathern that raw data, defualt is TRUE. |
Value
Returs the ks.test. No significant effect means that residuals behave as a normal variable
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
x <- c(1,3,5,7,9, 11)
y<- c(3.3, 5.8, 10, 12, 16, 17.8)
M <- lm(y~x)
ks.rnorte(M)
[Package inecolr version 0.1.0 Index]