I tried to replace NaN values with zeros using the following script rapply data123 f function x ifelse is nan x 0 x how replace 31 0 00000000 -0 67994832 0 50287454 0 63979527 1 48410571 -2 90402836 The NaN value was showing to be zero but when I typed in the name of the data frame and tried to review it the value was still remaining NaN data123 contri us 31 NaN -0 67994832 0 50287454 0 63979527 1 48410571 -2 90402836 I am not sure whether the rapply command was actually applying the adjustment in the data frame or just replaced the value as per shown Any idea how to actually change the NaN value to zero

How to replace NaN value with zero in a huge data frame?

It would seem that is.nan doesn't actually have a method for data frames, unlike is.na. So, let's fix that!

is.nan.data.frame <- function(x)
do.call(cbind, lapply(x, is.nan))

data123[is.nan(data123)] <- 0

~ Answered on 2013-08-09 08:46:22