You can use setattr() in the data.table package. It can be used too on
data.frames or other objects.
Best,
Philippe Grosjean
On 22 Feb 2014, at 03:13, Smart Guy <smartgu...@gmail.com> wrote:
> Hi All
>
> I am having problem running the 'attributes' command to set a attribute on
> each column of a large dataset. Dataset has 80 columns and 312407 rows. Its
> taking more than 60 seconds to set simple attributes like split=TRUE,
> usermissing=FALSE.
>
> Here is the source code, assuming Dataset1 is the one that is large :-
>
> myfunction <- function()
> {
> cat("Before for loop:")
> print(Sys.time())
> for( colIndex in 1 : 80)
> {
> cat("Before Attr", colIndex)
> print(Sys.time())
>
> attributes(Dataset1[1]) <- c(attributes(Dataset1[, colIndex]), list(coldesc
> = c(), usermissing = c(FALSE), missingvalues = NULL, split = c(FALSE),
> levelLabels = c("")))
>
> cat("After Attr:")
> print(Sys.time())
> }
> cat("After for loop:")
> print(Sys.time())
> }
>
> Its my feeling that R is passing all 312407 rows to set 'attributes' on a
> cloumn.
>
> Is there a more efficent way to do this?
>
>
> Thanks,
> SG
>
> [[alternative HTML version deleted]]
>
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