[R] Adding SORT to UNIQUE

Duncan Murdoch murdoch@dunc@n @end|ng |rom gm@||@com
Tue Dec 21 18:02:56 CET 2021


On 21/12/2021 11:59 a.m., Jeff Newmiller wrote:
> Intuitive, perhaps, but noticably slower. And it doesn't work on tibbles by design. Data frames are lists of columns.

That's just one of the design flaws in tibbles, but not the worst one.

Duncan Murdoch

> 
> 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.
>



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