removeConst: Remove Non-varying Predictors
In bbl: Boltzmann Bayes Learner

Description Usage Arguments Details Value Examples

Constant predictor is identified and removed

1	removeConst(x)

`x`	Data frame containing discrete factor variables in each column

Variables with only one factor level is removed from data. Intended for use before calling bbl.

Data frame omitting non-varying variables from x.

set.seed(351)
nt <- c('a','c','g','t')
x <- data.frame(v1=sample(nt,size=50,replace=TRUE),
                v2=rep('a',50),v3=sample(nt,size=50,replace=TRUE))
y <- sample(c('case','ctrl'),size=50,replace=TRUE)
dat <- cbind(data.frame(y=y), x)
summary(dat)
dat <- removeConst(dat)
summary(dat)