Hello,
I would use something like:
x <- c(1:5, NaN) |> sample(100, replace = TRUE) |> matrix(10, 10) |>
as.data.frame()
x[] <- lapply(x, function(xx) {
xx[is.nan(xx)] <- NA_real_
xx
})
This prevents attributes from being changed in 'x', but accomplishes the
same thing as you have above, I hope this helps!
On Thu, Sep 2, 2021 at 9:19 AM Luigi Marongiu <marongiu.lu...@gmail.com>
wrote:
> Hello,
> I have some NaN values in some elements of a dataframe that I would
> like to convert to NA.
> The command `df1$col[is.nan(df1$col)]<-NA` allows to work column-wise.
> Is there an alternative for the global modification at once of all
> instances?
> I have seen from
>
> https://stackoverflow.com/questions/18142117/how-to-replace-nan-value-with-zero-in-a-huge-data-frame/18143097#18143097
> that once could use:
> ```
>
> is.nan.data.frame <- function(x)
> do.call(cbind, lapply(x, is.nan))
>
> data123[is.nan(data123)] <- 0
> ```
> replacing o with NA, but I got
> ```
> str(df)
> > logi NA
> ```
> when modifying my dataframe df.
> What would be the correct syntax?
> Thank you
>
>
>
> --
> Best regards,
> Luigi
>
> ______________________________________________
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