How can I remove columns with NaN entries ?
Here is my simple example:
> data <- read.csv("test.csv")
> xdata <- data[3:length(data)]
> xs <- lapply(xdata, function(x){(x - mean(x))/sqrt(var(x))})
> x <- data.frame(xs)
> x
C D E F
1 -0.7071068 NaN -0.7071068 -0.7071068
2 0.7071068 NaN 0.7071068 0.7071068
I am sure it is possible to remove column D (with NaN's) in some simple
fashion, using is.nan function
without explicitly looping through, and I am sure I was able to do it in
the past, but I cannot recall how.
Your help will be greatly appreciated.
Ryszard
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