search for: row_names_info

They differ in whether the row names are "automatic": > .row_names_info(a1) [1] -3 > .row_names_info(a2) [1] 3 Best, -Deepayan On Tue, 14 Nov 2023 at 08:23, Gabor Grothendieck <ggrothendieck at gmail.com> wrote: > > What is going on here? In the lines ending in #### the inputs and outputs > are identical yet one gives a warning and the other does...

In that case identical should be FALSE but it is TRUE identical(a1, a2) ## [1] TRUE On Tue, Nov 14, 2023 at 8:58?AM Deepayan Sarkar <deepayan.sarkar at gmail.com> wrote: > > They differ in whether the row names are "automatic": > > > .row_names_info(a1) > [1] -3 > > .row_names_info(a2) > [1] 3 > > Best, > -Deepayan > > On Tue, 14 Nov 2023 at 08:23, Gabor Grothendieck > <ggrothendieck at gmail.com> wrote: > > > > What is going on here? In the lines ending in #### the inputs and outputs > >...

...xtMethod("[") cols <- names(y) if (!is.null(cols) && any(is.na(cols))) stop("undefined columns selected") if (any(duplicated(cols))) names(y) <- make.unique(cols) return(structure(y, class = oldClass(x), row.names = .row_names_info(x, 0L))) } if (missing(i)) { if (missing(j) && drop && length(x) == 1L) return(.subset2(x, 1L)) y <- if (missing(j)) x else .subset(x, j) if (drop && length(y) == 1L) return(.subset2(y, 1L)) cols <- names(y) if (any(is.na(c...

...should be FALSE but it is TRUE > > identical(a1, a2) > ## [1] TRUE > > > On Tue, Nov 14, 2023 at 8:58?AM Deepayan Sarkar > <deepayan.sarkar at gmail.com> wrote: > > > > They differ in whether the row names are "automatic": > > > > > .row_names_info(a1) > > [1] -3 > > > .row_names_info(a2) > > [1] 3 > > > > Best, > > -Deepayan > > > > On Tue, 14 Nov 2023 at 08:23, Gabor Grothendieck > > <ggrothendieck at gmail.com> wrote: > > > > > > What is going on here? In the...

...entical(a1, a2) > > ## [1] TRUE > > > > > > On Tue, Nov 14, 2023 at 8:58?AM Deepayan Sarkar > > <deepayan.sarkar at gmail.com> wrote: > > > > > > They differ in whether the row names are "automatic": > > > > > > > .row_names_info(a1) > > > [1] -3 > > > > .row_names_info(a2) > > > [1] 3 > > > > > > Best, > > > -Deepayan > > > > > > On Tue, 14 Nov 2023 at 08:23, Gabor Grothendieck > > > <ggrothendieck at gmail.com> wrote: > > >...

dear R wizards: here is the strange question for the day. It seems to me that nrow() is very slow. Let me explain what I mean: ds= data.frame( NA, x=rnorm(10000) ) ## a sample data set > system.time( { for (i in 1:10000) NA } ) ## doing nothing takes virtually no time user system elapsed 0.000 0.000 0.001 ## this is something that should take time; we need to add 10,000

...me" ) A single object matching '$<-.data.frame' was found It was found in the following places package:base registered S3 method for $<- from namespace base namespace:base with value function (x, i, value) { cl <- oldClass(x) class(x) <- NULL nrows <- .row_names_info(x, 2L) if (!is.null(value)) { N <- NROW(value) if (N > nrows) stop(gettextf("replacement has %d rows, data has %d", N, nrows), domain = NA) if (N < nrows && N > 0L) if (nrows%%N == 0L && len...

What is going on here? In the lines ending in #### the inputs and outputs are identical yet one gives a warning and the other does not. a1 <- `rownames<-`(anscombe[1:3, ], NULL) a2 <- anscombe[1:3, ] ix <- 5:8 # input arguments to #### are identical in both cases identical(stack(a1[ix]), stack(a2[ix])) ## [1] TRUE identical(a1[-ix], a2[-ix]) ## [1] TRUE res1 <-

Hi all, I just stumbled across the difference between explicit and 'automatic' row names for data frames. Is there a quick way to find out if a data frame has automatic row names or not? Of course I know this for data frames that I create myself, but what if a function needs to extract this information for an argument? The following example shows that this property is not easily

...matching) and d as the argument 'i' (because of subsequent positional argument matching). When [.data.frame calls NextMethod('['), a list is returned, and then [.data.frame wraps the list into a structure as follows: return(structure(y, class = oldClass(x), row.names = .row_names_info(x, 0L))) (src/library/base/r/dataframe.R:531-532) since x is 1:2 and oldClass(1:2) is NULL, the structure is a list and not a data frame, and thus the final result. The result is clearly incorrect wrt. the documentation: - there should be no dimension dropping when only one index is given (ev...

Dear R-devel, Can anyone help me to understand this? It seems that subscripting the rows of a data.frame without actually changing their order, somehow changes an internal representation of row.names that is revealed by e.g. dput/dump/serialize I have read the docs and inspected the (R) code for data.frame, rownames, row.names and dput without enlightenment. df=data.frame(a=1:10, b=1)

Hi! I came across this unexpected behaviour in R. First I thought it was a bug in the assignment operator <- but now I think it's maybe a bug in the way data frames are being printed. What do you think? Using R 4.3.1: > x <- data.frame(A = 1, B = 2, C = 3) > y <- data.frame(A = 1) > x A B C 1 1 2 3 > x$B <- y$A # works as expected > x A B C 1 1 1 3 > x$C

Hi all, What are current methods people use in R to identify mis-spelled column names when selecting columns from a data frame? Alice Johnson recently tackled this issue (see [BioC] posting below). Due to a mis-spelled column name ("FileName" instead of "Filename") which produced no warning, Alice spent a fair amount of time tracking down this bug. With my fumbling fingers

...ble(), write.table() and allies have been moved to package utils. o rgb() now accepts the red, green and blue components in a single matrix or data frame. o New utility function RShowDoc() in package 'utils' to find and display manuals and other documentation files. o New .row_names_info() utility function finds the number of rows efficiently for data frames; consequently, dim.data.frame() has become very fast for large data frames with 'automatic' row names. o RSiteSearch() now also allows to search postings of the 'R-devel' mailing list. o screeplot(...

...ble(), write.table() and allies have been moved to package utils. o rgb() now accepts the red, green and blue components in a single matrix or data frame. o New utility function RShowDoc() in package 'utils' to find and display manuals and other documentation files. o New .row_names_info() utility function finds the number of rows efficiently for data frames; consequently, dim.data.frame() has become very fast for large data frames with 'automatic' row names. o RSiteSearch() now also allows to search postings of the 'R-devel' mailing list. o screeplot(...