Concatenate columns based on separator in order












0















I have 2 columns that I would like to concatenate into a single column. Each column has separators ">" and each row either has the same number of separators or none at all.



col1 <- c('A > B > C > B > B > A > B > A > C',
'A > B',
'A > C > B',
'A',
'A > B > B > C')

col2 <- c('D > E > E > E > F > F > D > F > E',
'D > F',
'F > F > E',
'E',
'E > F > D > D')

df <- data.frame(col1, col2)


I would like to end up with a data frame like this:



col1
A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E
A|D > B|F
A|F > C|F > B|E
A|E
A|E > B|F > B|D > C|D









share|improve this question


















  • 1





    My original try comprised of calculating the max number of separators and using that in a split function. df$pathlength <- stringr::str_count(df$col1, ">") + 1 stringr::str_split_fixed(df$col1,">",max(df$pathlength)) stringr::str_split_fixed(df$col2,">",max(df$pathlength)) This gives 2 data frames with equal number of columns, however, I am not sure how to join the 2 to keep the relationship between each original combination.

    – ericbrownaustin
    Nov 19 '18 at 18:27
















0















I have 2 columns that I would like to concatenate into a single column. Each column has separators ">" and each row either has the same number of separators or none at all.



col1 <- c('A > B > C > B > B > A > B > A > C',
'A > B',
'A > C > B',
'A',
'A > B > B > C')

col2 <- c('D > E > E > E > F > F > D > F > E',
'D > F',
'F > F > E',
'E',
'E > F > D > D')

df <- data.frame(col1, col2)


I would like to end up with a data frame like this:



col1
A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E
A|D > B|F
A|F > C|F > B|E
A|E
A|E > B|F > B|D > C|D









share|improve this question


















  • 1





    My original try comprised of calculating the max number of separators and using that in a split function. df$pathlength <- stringr::str_count(df$col1, ">") + 1 stringr::str_split_fixed(df$col1,">",max(df$pathlength)) stringr::str_split_fixed(df$col2,">",max(df$pathlength)) This gives 2 data frames with equal number of columns, however, I am not sure how to join the 2 to keep the relationship between each original combination.

    – ericbrownaustin
    Nov 19 '18 at 18:27














0












0








0








I have 2 columns that I would like to concatenate into a single column. Each column has separators ">" and each row either has the same number of separators or none at all.



col1 <- c('A > B > C > B > B > A > B > A > C',
'A > B',
'A > C > B',
'A',
'A > B > B > C')

col2 <- c('D > E > E > E > F > F > D > F > E',
'D > F',
'F > F > E',
'E',
'E > F > D > D')

df <- data.frame(col1, col2)


I would like to end up with a data frame like this:



col1
A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E
A|D > B|F
A|F > C|F > B|E
A|E
A|E > B|F > B|D > C|D









share|improve this question














I have 2 columns that I would like to concatenate into a single column. Each column has separators ">" and each row either has the same number of separators or none at all.



col1 <- c('A > B > C > B > B > A > B > A > C',
'A > B',
'A > C > B',
'A',
'A > B > B > C')

col2 <- c('D > E > E > E > F > F > D > F > E',
'D > F',
'F > F > E',
'E',
'E > F > D > D')

df <- data.frame(col1, col2)


I would like to end up with a data frame like this:



col1
A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E
A|D > B|F
A|F > C|F > B|E
A|E
A|E > B|F > B|D > C|D






r






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asked Nov 19 '18 at 18:09









ericbrownaustinericbrownaustin

309316




309316








  • 1





    My original try comprised of calculating the max number of separators and using that in a split function. df$pathlength <- stringr::str_count(df$col1, ">") + 1 stringr::str_split_fixed(df$col1,">",max(df$pathlength)) stringr::str_split_fixed(df$col2,">",max(df$pathlength)) This gives 2 data frames with equal number of columns, however, I am not sure how to join the 2 to keep the relationship between each original combination.

    – ericbrownaustin
    Nov 19 '18 at 18:27














  • 1





    My original try comprised of calculating the max number of separators and using that in a split function. df$pathlength <- stringr::str_count(df$col1, ">") + 1 stringr::str_split_fixed(df$col1,">",max(df$pathlength)) stringr::str_split_fixed(df$col2,">",max(df$pathlength)) This gives 2 data frames with equal number of columns, however, I am not sure how to join the 2 to keep the relationship between each original combination.

    – ericbrownaustin
    Nov 19 '18 at 18:27








1




1





My original try comprised of calculating the max number of separators and using that in a split function. df$pathlength <- stringr::str_count(df$col1, ">") + 1 stringr::str_split_fixed(df$col1,">",max(df$pathlength)) stringr::str_split_fixed(df$col2,">",max(df$pathlength)) This gives 2 data frames with equal number of columns, however, I am not sure how to join the 2 to keep the relationship between each original combination.

– ericbrownaustin
Nov 19 '18 at 18:27





My original try comprised of calculating the max number of separators and using that in a split function. df$pathlength <- stringr::str_count(df$col1, ">") + 1 stringr::str_split_fixed(df$col1,">",max(df$pathlength)) stringr::str_split_fixed(df$col2,">",max(df$pathlength)) This gives 2 data frames with equal number of columns, however, I am not sure how to join the 2 to keep the relationship between each original combination.

– ericbrownaustin
Nov 19 '18 at 18:27












1 Answer
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You are looking for:



mapply(paste,strsplit(col1,' > '),strsplit(col2,' > '),sep='|',collapse=' > ')
[1] "A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E"
[2] "A|D > B|F"
[3] "A|F > C|F > B|E"
[4] "A|E"
[5] "A|E > B|F > B|D > C|D"





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    1 Answer
    1






    active

    oldest

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    active

    oldest

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    active

    oldest

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    1














    You are looking for:



    mapply(paste,strsplit(col1,' > '),strsplit(col2,' > '),sep='|',collapse=' > ')
    [1] "A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E"
    [2] "A|D > B|F"
    [3] "A|F > C|F > B|E"
    [4] "A|E"
    [5] "A|E > B|F > B|D > C|D"





    share|improve this answer




























      1














      You are looking for:



      mapply(paste,strsplit(col1,' > '),strsplit(col2,' > '),sep='|',collapse=' > ')
      [1] "A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E"
      [2] "A|D > B|F"
      [3] "A|F > C|F > B|E"
      [4] "A|E"
      [5] "A|E > B|F > B|D > C|D"





      share|improve this answer


























        1












        1








        1







        You are looking for:



        mapply(paste,strsplit(col1,' > '),strsplit(col2,' > '),sep='|',collapse=' > ')
        [1] "A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E"
        [2] "A|D > B|F"
        [3] "A|F > C|F > B|E"
        [4] "A|E"
        [5] "A|E > B|F > B|D > C|D"





        share|improve this answer













        You are looking for:



        mapply(paste,strsplit(col1,' > '),strsplit(col2,' > '),sep='|',collapse=' > ')
        [1] "A|D > B|E > C|E > B|E > B|F > A|F > B|D > A|F > C|E"
        [2] "A|D > B|F"
        [3] "A|F > C|F > B|E"
        [4] "A|E"
        [5] "A|E > B|F > B|D > C|D"






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 19 '18 at 18:19









        OnyambuOnyambu

        15.8k1521




        15.8k1521
































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