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Home/ Questions/Q 8288299
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Editorial Team
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Editorial Team
Asked: June 8, 20262026-06-08T12:15:18+00:00 2026-06-08T12:15:18+00:00

I have following issue, I could solve: set.seed (1234) mydf <- data.frame (var1a =

  • 0

I have following issue, I could solve:

set.seed (1234)
mydf <- data.frame (var1a = sample (c("TA", "AA", "TT"), 5, replace = TRUE),
                    varb2 = sample (c("GA", "AA", "GG"), 5, replace = TRUE),
                    varAB = sample (c("AC", "AA", "CC"), 5, replace = TRUE)
                    )
     mydf 

  var1a varb2 varAB
1    TA    AA    CC
2    AA    GA    AA
3    AA    GA    AC
4    AA    AA    CC
5    TT    AA    AC

I want to split two letter into different column, and then order alphabetically.

Edit: Ordering can be done before split, for example var1a value “TA” var1a should be “AT” or after split so that var1aa should be “A”, and var1ab be “T” (instead of “T”, “A”).
so sorting is within each cell.

split_col <- function(.col, data){
    .x <- colsplit( data[[.col]], names =  paste0(.col, letters[1:2]))
   }

split each column and combine

    require(reshape)
    splitdf <- do.call(cbind, lapply(names(mydf), split_col, data = mydf))

 var1aa var1ab varb2a varb2b varABa varABb
1      T      A      A      A      C      C
2      A      A      G      A      A      A
3      A      A      G      A      A      C
4      A      A      A      A      C      C
5      T      T      A      A      A      C

But the unsolved part is I want to order the pair of columns such that columnname”a” and columname”b” are ordered, alphabetically. Thus expected output:

    var1aa var1ab varb2a varb2b varABa varABb
1      A      T      A      A      C      C
2      A      A      A      G      A      A
3      A      A      A      G      A      C
4      A      A      A      A      C      C
5      T      T      A      A      A      C

Can how can order (short with each pair of variable) ?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-08T12:15:20+00:00Added an answer on June 8, 2026 at 12:15 pm
    mylist <-as.list(mydf)
    
    splits <- lapply(mylist, reshape::colsplit, names=c("a", "b"))
    rowsort <- lapply(splits, function(x) t(apply(x, 1, sort)))
    comb <- do.call(data.frame, rowsort)
    comb
    
      var1a.1 var1a.2 varb2.1 varb2.2 varAB.a varAB.b
    1       A       T       A       A       C       C
    2       A       A       A       G       A       A
    3       A       A       A       G       A       C
    4       A       A       A       A       C       C
    5       T       T       A       A       A       C
    

    EDIT:
    If names are important, you can replace them:

    replaceNums <- function(x){
      .which <- regmatches(x, regexpr("[[:alnum:]]*(?=.)", x, perl=TRUE))
      stopifnot(length(x) %% 2 == 0) #checkstep
      paste0(.which, c("a", "b"))
    }
    
    names(comb) <- replaceNums(names(comb))
    comb
      var1aa var1ab varb2a varb2b varABa varABb
    1      A      T      A      A      C      C
    2      A      A      A      G      A      A
    3      A      A      A      G      A      C
    4      A      A      A      A      C      C
    5      T      T      A      A      A      C
    
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