mfit | R Documentation |
Calculates main fitted effects for individual factors and two-way interaction fitted effects for all pairs of factors. Any number of factors may be input. Three-way, four-way, etc. fitted effects are not shown, even when more than two factors are given.
mfit(y, ..., dec = 3)
y |
Vector of responses whose fitted effects are shown. |
... |
Vectors of different factors. |
dec |
Number of decimal places to print. |
lm, fitted
# Create a data set with two factors (age and gender) race<-data.frame(c(1.02,.99,1.11,1.30,1.09,1.26,1.21,1.19,1.30,1.45,1.34,1.49), c('M','M','M','M','M','M','F','F','F','F','F','F'), c('under 50','under 50','under 50','over 50','over 50','over 50', 'under 50','under 50','under 50','over 50','over 50','over 50')) names(race)<-c("time","gender","age") # Show fitted effects for age, gender and age & gender means(race$time, race$age, race$gender)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.