Find sequential indices for observations in a data frame corresponding to the unique combinations of the levels of a given model term from a model object or a data frame
Arguments
- x
Either a data frame or a model object
- term
The name of one term in the model, consisting only of factors
Examples
factors <- expand.grid(A=factor(1:3),B=factor(1:2),C=factor(1:2))
n <- nrow(factors)
responses <-data.frame(Y1=10+round(10*rnorm(n)),Y2=10+round(10*rnorm(n)))
test <- data.frame(factors, responses)
mod <- lm(cbind(Y1,Y2) ~ A*B, data=test)
dataIndex(mod, "A")
#> [1] 1 2 3 1 2 3 1 2 3 1 2 3
dataIndex(mod, "A:B")
#> [1] 1 2 3 4 5 6 1 2 3 4 5 6