GLM | R Documentation |
GLM is the main function of this package.
GLM(Formula, Data, BETA=FALSE, EMEAN=FALSE, conf.level=0.95, eps=1e-8)
Formula |
a conventional formula for a linear model. |
Data |
a |
BETA |
if |
EMEAN |
if |
conf.level |
confidence level for the confidence limit of the least square mean |
eps |
Less than this value is considered as zero. |
It performs the core function of SAS PROC GLM. Least square means for the tnteraction term of three variables is not supported yet.
The result is comparable to that of SAS PROC GLM.
ANOVA |
ANOVA table for the model |
Fitness |
Some measures of goodness of fit such as R-square and CV |
Type I |
Type I sum of square table |
Type II |
Type II sum of square table |
Type III |
Type III sum of square table |
Parameter |
Parameter table with standard error, t value, p value. |
Expected Mean |
Least square (or expected) mean table with confindence limit. This is returned only with EMEAN=TRUE option. |
Kyun-Seop Bae k@acr.kr
GLM(uptake ~ Type*Treatment + conc, CO2[-1,]) # Making data unbalanced GLM(uptake ~ Type*Treatment + conc, CO2[-1,], BETA=TRUE) GLM(uptake ~ Type*Treatment + conc, CO2[-1,], EMEAN=TRUE) GLM(uptake ~ Type*Treatment + conc, CO2[-1,], BETA=TRUE, EMEAN=TRUE)
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