[R] Adding SORT to UNIQUE
Jeff Newmiller
jdnewm|| @end|ng |rom dcn@d@v|@@c@@u@
Tue Dec 21 18:58:29 CET 2021
When your brain is wired to treat a data frame like a matrix, then you think things like
for ( col in colnames( col ) ) {
idx <- expr
D[ col, idx ] <- otherexpr
}
are reasonable, when
for ( col in colnames( col ) ) {
idx <- expr
D[[ col ]][ idx ] <- otherexpr
}
does actually run significantly faster.
On December 21, 2021 9:28:52 AM PST, "Fox, John" <jfox using mcmaster.ca> wrote:
>Dear Jeff,
>
>On 2021-12-21, 11:59 AM, "R-help on behalf of Jeff Newmiller" <r-help-bounces using r-project.org on behalf of jdnewmil using dcn.davis.ca.us> wrote:
>
> Intuitive, perhaps, but noticably slower.
>
>I think that in most applications, one wouldn't notice the difference; for example:
>
>> D <- data.frame(matrix(rnorm(1000*1e6), 1e6, 1000))
>
>> microbenchmark(D[, 1])
>Unit: microseconds
> expr min lq mean median uq max neval
> D[, 1] 3.321 3.362 3.98561 3.444 3.5875 51.291 100
>
>> microbenchmark(D[[1]])
>Unit: microseconds
> expr min lq mean median uq max neval
> D[[1]] 1.722 1.763 1.99137 1.804 1.8655 17.876 100
>
>Best,
> John
>
>
> And it doesn't work on tibbles by design. Data frames are lists of columns.
>
>
> On December 21, 2021 8:38:35 AM PST, Duncan Murdoch <murdoch.duncan using gmail.com> wrote:
> >On 21/12/2021 11:31 a.m., Duncan Murdoch wrote:
> >> On 21/12/2021 11:20 a.m., Stephen H. Dawson, DSL wrote:
> >>> Thanks for the reply.
> >>>
> >>> sort(unique(Data[1]))
> >>> Error in `[.data.frame`(x, order(x, na.last = na.last, decreasing =
> >>> decreasing)) :
> >>> undefined columns selected
> >>
> >> That's the wrong syntax: Data[1] is not "column one of Data". Use
> >> Data[[1]] for that, so
> >>
> >> sort(unique(Data[[1]]))
> >
> >Actually, I'd probably recommend
> >
> > sort(unique(Data[, 1]))
> >
> >instead. This treats Data as a matrix rather than as a list.
> >Dataframes are lists that look like matrices, but to me the matrix
> >aspect is usually more intuitive.
> >
> >Duncan Murdoch
> >
> >>
> >> I think Rui already pointed out the typo in the quoted text below...
> >>
> >> Duncan Murdoch
> >>
> >>>
> >>> The recommended syntax did not work, as listed above.
> >>>
> >>> What I want is the sort of distinct column output. Again, the column may
> >>> be text or numbers. This is a huge analysis effort with data coming at
> >>> me from many different sources.
> >>>
> >>>
> >>> *Stephen Dawson, DSL*
> >>> /Executive Strategy Consultant/
> >>> Business & Technology
> >>> +1 (865) 804-3454
> >>> http://www.shdawson.com <http://www.shdawson.com>
> >>>
> >>>
> >>> On 12/21/21 11:07 AM, Duncan Murdoch wrote:
> >>>> On 21/12/2021 10:16 a.m., Stephen H. Dawson, DSL via R-help wrote:
> >>>>> Thanks everyone for the replies.
> >>>>>
> >>>>> It is clear one either needs to write a function or put the unique
> >>>>> entries into another dataframe.
> >>>>>
> >>>>> It seems odd R cannot sort a list of unique column entries with ease.
> >>>>> Python and SQL can do it with ease.
> >>>>
> >>>> I've seen several responses that looked pretty simple. It's hard to
> >>>> beat sort(unique(x)), though there's a fair bit of confusion about
> >>>> what you actually want. Maybe you should post an example of the code
> >>>> you'd use in Python?
> >>>>
> >>>> Duncan Murdoch
> >>>>
> >>>>>
> >>>>> QUESTION
> >>>>> Is there a simpler means than other than the unique function to capture
> >>>>> distinct column entries, then sort that list?
> >>>>>
> >>>>>
> >>>>> *Stephen Dawson, DSL*
> >>>>> /Executive Strategy Consultant/
> >>>>> Business & Technology
> >>>>> +1 (865) 804-3454
> >>>>> http://www.shdawson.com <http://www.shdawson.com>
> >>>>>
> >>>>>
> >>>>> On 12/20/21 5:53 PM, Rui Barradas wrote:
> >>>>>> Hello,
> >>>>>>
> >>>>>> Inline.
> >>>>>>
> >>>>>> Às 21:18 de 20/12/21, Stephen H. Dawson, DSL via R-help escreveu:
> >>>>>>> Thanks.
> >>>>>>>
> >>>>>>> sort(unique(Data[[1]]))
> >>>>>>>
> >>>>>>> This syntax provides row numbers, not column values.
> >>>>>>
> >>>>>> This is not right.
> >>>>>> The syntax Data[1] extracts a sub-data.frame, the syntax Data[[1]]
> >>>>>> extracts the column vector.
> >>>>>>
> >>>>>> As for my previous answer, it was not addressing the question, I
> >>>>>> misinterpreted it as being a question on how to sort by numeric order
> >>>>>> when the data is not numeric. Here is a, hopefully, complete answer.
> >>>>>> Still with package stringr.
> >>>>>>
> >>>>>>
> >>>>>> cols_to_sort <- 1:4
> >>>>>>
> >>>>>> Data2 <- lapply(Data[cols_to_sort], \(x){
> >>>>>> stringr::str_sort(unique(x), numeric = TRUE)
> >>>>>> })
> >>>>>>
> >>>>>>
> >>>>>> Or using Avi's suggestion of writing a function to do all the work and
> >>>>>> simplify the lapply loop later,
> >>>>>>
> >>>>>>
> >>>>>> unisort2 <- function(vec, ...) stringr::str_sort(unique(vec), ...)
> >>>>>> Data2 <- lapply(Data[cols_to_sort], unisort, numeric = TRUE)
> >>>>>>
> >>>>>>
> >>>>>> Hope this helps,
> >>>>>>
> >>>>>> Rui Barradas
> >>>>>>
> >>>>>>
> >>>>>>>
> >>>>>>> *Stephen Dawson, DSL*
> >>>>>>> /Executive Strategy Consultant/
> >>>>>>> Business & Technology
> >>>>>>> +1 (865) 804-3454
> >>>>>>> http://www.shdawson.com <http://www.shdawson.com>
> >>>>>>>
> >>>>>>>
> >>>>>>> On 12/20/21 11:58 AM, Stephen H. Dawson, DSL via R-help wrote:
> >>>>>>>> Hi,
> >>>>>>>>
> >>>>>>>>
> >>>>>>>> Running a simple syntax set to review entries in dataframe columns.
> >>>>>>>> Here is the working code.
> >>>>>>>>
> >>>>>>>> Data <- read.csv("./input/Source.csv", header=T)
> >>>>>>>> describe(Data)
> >>>>>>>> summary(Data)
> >>>>>>>> unique(Data[1])
> >>>>>>>> unique(Data[2])
> >>>>>>>> unique(Data[3])
> >>>>>>>> unique(Data[4])
> >>>>>>>>
> >>>>>>>> I would like to add sort the unique entries. The data in the various
> >>>>>>>> columns are not defined as numbers, but also text. I realize 1 and
> >>>>>>>> 10 will not sort properly, as the column is not defined as a number,
> >>>>>>>> but want to see what I have in the columns viewed as sorted.
> >>>>>>>>
> >>>>>>>> QUESTION
> >>>>>>>> What is the best process to sort unique output, please?
> >>>>>>>>
> >>>>>>>>
> >>>>>>>> Thanks.
> >>>>>>>
> >>>>>>> ______________________________________________
> >>>>>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >>>>>>> https://stat.ethz.ch/mailman/listinfo/r-help
> >>>>>>> PLEASE do read the posting guide
> >>>>>>> http://www.R-project.org/posting-guide.html
> >>>>>>> and provide commented, minimal, self-contained, reproducible code.
> >>>>>>
> >>>>>
> >>>>> ______________________________________________
> >>>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >>>>> https://stat.ethz.ch/mailman/listinfo/r-help
> >>>>> PLEASE do read the posting guide
> >>>>> http://www.R-project.org/posting-guide.html
> >>>>> and provide commented, minimal, self-contained, reproducible code.
> >>>>
> >>>>
> >>>
> >>>
> >>
> >
> >______________________________________________
> >R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >https://stat.ethz.ch/mailman/listinfo/r-help
> >PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> >and provide commented, minimal, self-contained, reproducible code.
>
> --
> Sent from my phone. Please excuse my brevity.
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Sent from my phone. Please excuse my brevity.
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