Assuming you are talking about redun() from the Hmisc package, it's
much easier than you are making it:
n <- 100
x1 <- runif(n)
x2 <- runif(n)
x3 <- x1 + x2 + runif(n)/10
x4 <- x1 + x2 + x3 + runif(n)/10
x5 <- factor(sample(c('a','b','c'),n,replace=TRUE))
x6 <- 1*(x5=='a' | x5=='c')
data1 <- data.
Dear All,
I am new to R, I have one question which might be easy.
I have a large data with more than 250 variable, i am reducing number of
variables by redun function as in the example below,
n <- 100
x1 <- runif(n)
x2 <- runif(n)
x3 <- x1 + x2 + runif(n)/10
x4 <- x1 + x2 + x3 + runif(n)/10
x5 <
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