[datatable-help] mapply cannot modify in place when iterating over list of DTs
Ricardo Saporta
saporta at scarletmail.rutgers.edu
Fri Sep 20 20:01:16 CEST 2013
One warning per DT in the list
(I added the line breaks)
-Rick
=============================================
Warning messages:
1: In `[.data.table`(DT, , `:=`(c("Col3", "Col4"), list(C3, C4))) :
Invalid .internal.selfref detected and fixed by taking a copy of the
whole table so that := can add this new column by reference. At an earlier
point, this data.table has been copied by R (or been created manually using
structure() or similar). Avoid key<-, names<- and attr<- which in R
currently (and oddly) may copy the whole data.table. Use set* syntax
instead to avoid copying: ?set, ?setnames and ?setattr. Also, in R<v3.1.0,
list(DT1,DT2) copied the entire DT1 and DT2 (R's list() used to copy named
objects); please upgrade to R>=v3.1.0 if that is biting. If this message
doesn't help, please report to datatable-help so the root cause can be
fixed.
2: In `[.data.table`(DT, , `:=`(c("Col3", "Col4"), list(C3, C4))) :
Invalid .internal.selfref detected and fixed by taking a copy of the
whole table so that := can add this new column by reference. At an earlier
point, this data.table has been copied by R (or been created manually using
structure() or similar). Avoid key<-, names<- and attr<- which in R
currently (and oddly) may copy the whole data.table. Use set* syntax
instead to avoid copying: ?set, ?setnames and ?setattr. Also, in R<v3.1.0,
list(DT1,DT2) copied the entire DT1 and DT2 (R's list() used to copy named
objects); please upgrade to R>=v3.1.0 if that is biting. If this message
doesn't help, please report to datatable-help so the root cause can be
fixed.
=============================================
On Fri, Sep 20, 2013 at 12:49 PM, Matthew Dowle <mdowle at mdowle.plus.com>wrote:
>
> Hi,
>
> What's the warning?
>
> Matthew
>
>
>
> On 20/09/13 14:48, Ricardo Saporta wrote:
>
> I've encountered the following issue iterating over a list of
> data.tables.
> The issue is only with mapply, not with lapply .
>
>
> Given a list of data.table's, mapply'ing over the list directly
> cannot modify in place.
>
> Also if attempting to add a new column, we get an "Invalid
> .internal.selfref" warning.
> Modifying an existing column does not issue a warning, but still fails to
> modify-in-place
>
> WORKAROUND:
> ----------
> The workaround is to iterate over an index to the list, then to
> modify each data.table via list.of.DTs[[i]][ .. ]
>
> **Interestingly, this issue occurs with `mapply`, but not `lapply`.**
>
>
> EXAMPLE:
> --------
> # Given a list of DT's and two lists of vectors,
> # we want to add the corresponding vectors as columns to the DT.
>
> ## ---------------- ##
> ## SAMPLE DATA: ##
> ## ---------------- ##
> # list of data.tables
> list.DT <- list(
> DT1=data.table(Col1=111:115, Col2=121:125),
> DT2=data.table(Col1=211:215, Col2=221:225)
> )
>
> # lists of columns to add
> list.Col3 <- list(131:135, 231:235)
> list.Col4 <- list(141:145, 241:245)
>
>
> ## ------------------------------------ ##
> ## Iterating over the list elements ##
> ## adding a new column ##
> ## ------------------------------------ ##
> ## Will issue warning and ##
> ## will fail to modify in place ##
> ## ------------------------------------ ##
> mapply (
> function(DT, C3, C4)
> DT[, c("Col3", "Col4") := list(C3, C4)],
>
> list.DT, # iterating over the list
> list.Col3, list.Col4,
> SIMPLIFY=FALSE
> )
>
> ## Note the lack of change
> list.DT
>
>
> ## ------------------------------------ ##
> ## Iterating over an index ##
> ## ------------------------------------ ##
> mapply (
> function(i, C3, C4)
> list.DT[[i]] [, c("Col3", "Col4") := list(C3, C4)],
>
> seq(list.DT), # iterating over an index to the list
> list.Col3, list.Col4,
> SIMPLIFY=FALSE
> )
>
> ## Note each DT _has_ been modified
> list.DT
>
> ## ------------------------------------ ##
> ## Iterating over the list elements ##
> ## modifying existing column ##
> ## ------------------------------------ ##
> ## No warning issued, but ##
> ## Will fail to modify in place ##
> ## ------------------------------------ ##
> mapply (
> function(DT, C3, C4)
> DT[, c("Col3", "Col4") := list(Col3*1e3, Col4*1e4)],
>
> list.DT, # iterating over the list
> list.Col3, list.Col4,
> SIMPLIFY=FALSE
> )
>
> ## Note the lack of change (compare with output from `mapply`)
> list.DT
>
> ## ------------------------------------ ##
> ## ##
> ## `lapply` works as expected. ##
> ## ##
> ## ------------------------------------ ##
>
> ## NOW WITH lapply
> lapply(list.DT,
> function(DT)
> DT[, newCol := LETTERS[1:5]]
> )
>
> ## Note the new column:
> list.DT
>
>
>
> # ========================== #
>
> ## NON-WORKAROUNDS ##
> ##
> ## I also tried all of the following alternatives
> ## in hopes of being able to iterate over the list
> ## directly, using `mapply`.
> ## None of these worked.
>
> # (1) Creating the DTs First, then creating the list from them
> DT1 <- data.table(Col1=111:115, Col2=121:125)
> DT2 <- data.table(Col1=211:215, Col2=221:225)
>
> list.DT <- list(DT1=DT1,DT2=DT2 )
>
>
> # (2) Same as 1, and using `copy()` in the call to `list()`
> list.DT <- list(DT1=copy(DT1),
> DT2=copy(DT2) )
>
> # (3) lapply'ing `copy` and then iterating over that list
> list.DT <- lapply(list.DT, copy)
>
> # (4) Not naming the list elements
> list.DT <- list(DT1, DT2)
> # and tried
> list.DT <- list(copy(DT1), copy(DT2))
>
> ## All of the above still failed to modify in place
> ## (and also issued the same warning if trying to add a column)
> ## when iterating using mapply
>
> mapply(function(DT, C3, C4)
> DT[, c("Col3", "Col4") := list(C3, C4)],
> list.DT, list.Col3, list.Col4,
> SIMPLIFY=FALSE)
>
>
> # ========================== #
>
>
> Ricardo Saporta
> Rutgers University, New Jersey
> e: saporta at rutgers.edu
>
>
>
> _______________________________________________
> datatable-help mailing listdatatable-help at lists.r-forge.r-project.orghttps://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
>
>
>
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