You can just use the output of `is.na`

to replace directly with subsetting:

bothbeams.data[is.na(bothbeams.data)] <- 0

Or with a reproducible example:

dfr <- data.frame(x=c(1:3,NA),y=c(NA,4:6)) dfr[is.na(dfr)] <- 0 dfr x y 1 1 0 2 2 4 3 3 5 4 0 6

However, be careful using this method on a data frame containing factors that also have missing values:

> d <- data.frame(x = c(NA,2,3),y = c("a",NA,"c")) > d[is.na(d)] <- 0 Warning message: In `[<-.factor`(`*tmp*`, thisvar, value = 0) : invalid factor level, NA generated

It “works”:

> d x y 1 0 a 2 2 <NA> 3 3 c

…but you likely will want to specifically alter only the numeric columns in this case, rather than the whole data frame. See, eg, the answer below using `dplyr::mutate_if`

.

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