Count vectors in list with the same elements in r












2














I have a list of ~8000 vectors, and I would like to know how many duplicates there are of these 8000 vectors, but the order of the elements in each could be different.



for example:



list <- c()
list[[1]] <- c(1,2,3)
list[[2]] <- c(2,1,3)
list[[3]] <- c(3,2,1)
list[[4]] <- c(4,5)
list[[5]] <- c(5,4)
list[[6]] <- c(1,2,3,5)


should give me a count of 3 for c(1,2,3) and 2 for c(4,5) and 1 for c(1,2,3,5)



I'd like the count of each of the duplicates, not just how many are duplicated.










share|improve this question




















  • 1




    Do you need length(unique(list)) Also, if you need all the duplicates then sum(duplicated(lst)|duplicated(lst, fromLast = TRUE))
    – akrun
    Nov 16 '18 at 19:54












  • in a sense, but I would like some sort of function that tells me which list was duplicated how many times, in the example above it would be c(1,2,3) = 3 or something like that
    – HibaShaban
    Nov 16 '18 at 20:00






  • 1




    What you are showing is not a list of lists but a list of vectors
    – prosoitos
    Nov 16 '18 at 20:05






  • 1




    You have a typo: List should be list on your first line
    – prosoitos
    Nov 16 '18 at 20:38








  • 1




    yes, thanks. Was trying to make it reproducible but that part slipped through.
    – HibaShaban
    Nov 16 '18 at 20:41
















2














I have a list of ~8000 vectors, and I would like to know how many duplicates there are of these 8000 vectors, but the order of the elements in each could be different.



for example:



list <- c()
list[[1]] <- c(1,2,3)
list[[2]] <- c(2,1,3)
list[[3]] <- c(3,2,1)
list[[4]] <- c(4,5)
list[[5]] <- c(5,4)
list[[6]] <- c(1,2,3,5)


should give me a count of 3 for c(1,2,3) and 2 for c(4,5) and 1 for c(1,2,3,5)



I'd like the count of each of the duplicates, not just how many are duplicated.










share|improve this question




















  • 1




    Do you need length(unique(list)) Also, if you need all the duplicates then sum(duplicated(lst)|duplicated(lst, fromLast = TRUE))
    – akrun
    Nov 16 '18 at 19:54












  • in a sense, but I would like some sort of function that tells me which list was duplicated how many times, in the example above it would be c(1,2,3) = 3 or something like that
    – HibaShaban
    Nov 16 '18 at 20:00






  • 1




    What you are showing is not a list of lists but a list of vectors
    – prosoitos
    Nov 16 '18 at 20:05






  • 1




    You have a typo: List should be list on your first line
    – prosoitos
    Nov 16 '18 at 20:38








  • 1




    yes, thanks. Was trying to make it reproducible but that part slipped through.
    – HibaShaban
    Nov 16 '18 at 20:41














2












2








2







I have a list of ~8000 vectors, and I would like to know how many duplicates there are of these 8000 vectors, but the order of the elements in each could be different.



for example:



list <- c()
list[[1]] <- c(1,2,3)
list[[2]] <- c(2,1,3)
list[[3]] <- c(3,2,1)
list[[4]] <- c(4,5)
list[[5]] <- c(5,4)
list[[6]] <- c(1,2,3,5)


should give me a count of 3 for c(1,2,3) and 2 for c(4,5) and 1 for c(1,2,3,5)



I'd like the count of each of the duplicates, not just how many are duplicated.










share|improve this question















I have a list of ~8000 vectors, and I would like to know how many duplicates there are of these 8000 vectors, but the order of the elements in each could be different.



for example:



list <- c()
list[[1]] <- c(1,2,3)
list[[2]] <- c(2,1,3)
list[[3]] <- c(3,2,1)
list[[4]] <- c(4,5)
list[[5]] <- c(5,4)
list[[6]] <- c(1,2,3,5)


should give me a count of 3 for c(1,2,3) and 2 for c(4,5) and 1 for c(1,2,3,5)



I'd like the count of each of the duplicates, not just how many are duplicated.







r list






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 18 '18 at 13:15

























asked Nov 16 '18 at 19:52









HibaShaban

20110




20110








  • 1




    Do you need length(unique(list)) Also, if you need all the duplicates then sum(duplicated(lst)|duplicated(lst, fromLast = TRUE))
    – akrun
    Nov 16 '18 at 19:54












  • in a sense, but I would like some sort of function that tells me which list was duplicated how many times, in the example above it would be c(1,2,3) = 3 or something like that
    – HibaShaban
    Nov 16 '18 at 20:00






  • 1




    What you are showing is not a list of lists but a list of vectors
    – prosoitos
    Nov 16 '18 at 20:05






  • 1




    You have a typo: List should be list on your first line
    – prosoitos
    Nov 16 '18 at 20:38








  • 1




    yes, thanks. Was trying to make it reproducible but that part slipped through.
    – HibaShaban
    Nov 16 '18 at 20:41














  • 1




    Do you need length(unique(list)) Also, if you need all the duplicates then sum(duplicated(lst)|duplicated(lst, fromLast = TRUE))
    – akrun
    Nov 16 '18 at 19:54












  • in a sense, but I would like some sort of function that tells me which list was duplicated how many times, in the example above it would be c(1,2,3) = 3 or something like that
    – HibaShaban
    Nov 16 '18 at 20:00






  • 1




    What you are showing is not a list of lists but a list of vectors
    – prosoitos
    Nov 16 '18 at 20:05






  • 1




    You have a typo: List should be list on your first line
    – prosoitos
    Nov 16 '18 at 20:38








  • 1




    yes, thanks. Was trying to make it reproducible but that part slipped through.
    – HibaShaban
    Nov 16 '18 at 20:41








1




1




Do you need length(unique(list)) Also, if you need all the duplicates then sum(duplicated(lst)|duplicated(lst, fromLast = TRUE))
– akrun
Nov 16 '18 at 19:54






Do you need length(unique(list)) Also, if you need all the duplicates then sum(duplicated(lst)|duplicated(lst, fromLast = TRUE))
– akrun
Nov 16 '18 at 19:54














in a sense, but I would like some sort of function that tells me which list was duplicated how many times, in the example above it would be c(1,2,3) = 3 or something like that
– HibaShaban
Nov 16 '18 at 20:00




in a sense, but I would like some sort of function that tells me which list was duplicated how many times, in the example above it would be c(1,2,3) = 3 or something like that
– HibaShaban
Nov 16 '18 at 20:00




1




1




What you are showing is not a list of lists but a list of vectors
– prosoitos
Nov 16 '18 at 20:05




What you are showing is not a list of lists but a list of vectors
– prosoitos
Nov 16 '18 at 20:05




1




1




You have a typo: List should be list on your first line
– prosoitos
Nov 16 '18 at 20:38






You have a typo: List should be list on your first line
– prosoitos
Nov 16 '18 at 20:38






1




1




yes, thanks. Was trying to make it reproducible but that part slipped through.
– HibaShaban
Nov 16 '18 at 20:41




yes, thanks. Was trying to make it reproducible but that part slipped through.
– HibaShaban
Nov 16 '18 at 20:41












2 Answers
2






active

oldest

votes


















1














library(tidyverse)
library(gtools)

get_perm <- function(v) {
m <- permutations(n = length(v), r = length(v), v = v, set = F)
m[order(c(m))]
}

all <- map(list, get_perm)

unique <- map(list, get_perm) %>% unique()

res_vec <- c()
element <- c()

for(i in seq_along(unique)) {
element[[i]] <- unique[[i]] %>% unique() %>% paste(collapse = ",")
res_vec[[i]] <- all %in% unique[i] %>% sum()
}

tibble(
elements = unlist(element),
numbers = res_vec
)


Result



# A tibble: 3 x 2
elements numbers
<chr> <int>
1 1,2,3 3
2 4,5 2
3 1,2,3,5 1


elements contains all the individual elements of the vectors for each group and numbers are the numbers of vectors you have in each group.






share|improve this answer































    1














    We create a function to take vector as an argument ('val'), then loop through the list with sapply, check if all the 'valare%in%the 'x', andsumthe logicalvector`



    f1 <- function(lst, val) sum(sapply(lst, function(x) all(val %in% x)))
    f1(list, c(1, 2, 3))
    [#1] 3

    f1(list, c(4, 5))
    #[1] 2





    share|improve this answer



















    • 1




      Thanks! This worked
      – HibaShaban
      Nov 16 '18 at 20:34










    • So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
      – HibaShaban
      Nov 16 '18 at 22:00












    • I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
      – HibaShaban
      Nov 16 '18 at 22:51











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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    library(tidyverse)
    library(gtools)

    get_perm <- function(v) {
    m <- permutations(n = length(v), r = length(v), v = v, set = F)
    m[order(c(m))]
    }

    all <- map(list, get_perm)

    unique <- map(list, get_perm) %>% unique()

    res_vec <- c()
    element <- c()

    for(i in seq_along(unique)) {
    element[[i]] <- unique[[i]] %>% unique() %>% paste(collapse = ",")
    res_vec[[i]] <- all %in% unique[i] %>% sum()
    }

    tibble(
    elements = unlist(element),
    numbers = res_vec
    )


    Result



    # A tibble: 3 x 2
    elements numbers
    <chr> <int>
    1 1,2,3 3
    2 4,5 2
    3 1,2,3,5 1


    elements contains all the individual elements of the vectors for each group and numbers are the numbers of vectors you have in each group.






    share|improve this answer




























      1














      library(tidyverse)
      library(gtools)

      get_perm <- function(v) {
      m <- permutations(n = length(v), r = length(v), v = v, set = F)
      m[order(c(m))]
      }

      all <- map(list, get_perm)

      unique <- map(list, get_perm) %>% unique()

      res_vec <- c()
      element <- c()

      for(i in seq_along(unique)) {
      element[[i]] <- unique[[i]] %>% unique() %>% paste(collapse = ",")
      res_vec[[i]] <- all %in% unique[i] %>% sum()
      }

      tibble(
      elements = unlist(element),
      numbers = res_vec
      )


      Result



      # A tibble: 3 x 2
      elements numbers
      <chr> <int>
      1 1,2,3 3
      2 4,5 2
      3 1,2,3,5 1


      elements contains all the individual elements of the vectors for each group and numbers are the numbers of vectors you have in each group.






      share|improve this answer


























        1












        1








        1






        library(tidyverse)
        library(gtools)

        get_perm <- function(v) {
        m <- permutations(n = length(v), r = length(v), v = v, set = F)
        m[order(c(m))]
        }

        all <- map(list, get_perm)

        unique <- map(list, get_perm) %>% unique()

        res_vec <- c()
        element <- c()

        for(i in seq_along(unique)) {
        element[[i]] <- unique[[i]] %>% unique() %>% paste(collapse = ",")
        res_vec[[i]] <- all %in% unique[i] %>% sum()
        }

        tibble(
        elements = unlist(element),
        numbers = res_vec
        )


        Result



        # A tibble: 3 x 2
        elements numbers
        <chr> <int>
        1 1,2,3 3
        2 4,5 2
        3 1,2,3,5 1


        elements contains all the individual elements of the vectors for each group and numbers are the numbers of vectors you have in each group.






        share|improve this answer














        library(tidyverse)
        library(gtools)

        get_perm <- function(v) {
        m <- permutations(n = length(v), r = length(v), v = v, set = F)
        m[order(c(m))]
        }

        all <- map(list, get_perm)

        unique <- map(list, get_perm) %>% unique()

        res_vec <- c()
        element <- c()

        for(i in seq_along(unique)) {
        element[[i]] <- unique[[i]] %>% unique() %>% paste(collapse = ",")
        res_vec[[i]] <- all %in% unique[i] %>% sum()
        }

        tibble(
        elements = unlist(element),
        numbers = res_vec
        )


        Result



        # A tibble: 3 x 2
        elements numbers
        <chr> <int>
        1 1,2,3 3
        2 4,5 2
        3 1,2,3,5 1


        elements contains all the individual elements of the vectors for each group and numbers are the numbers of vectors you have in each group.







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 17 '18 at 5:46

























        answered Nov 17 '18 at 0:47









        prosoitos

        935219




        935219

























            1














            We create a function to take vector as an argument ('val'), then loop through the list with sapply, check if all the 'valare%in%the 'x', andsumthe logicalvector`



            f1 <- function(lst, val) sum(sapply(lst, function(x) all(val %in% x)))
            f1(list, c(1, 2, 3))
            [#1] 3

            f1(list, c(4, 5))
            #[1] 2





            share|improve this answer



















            • 1




              Thanks! This worked
              – HibaShaban
              Nov 16 '18 at 20:34










            • So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
              – HibaShaban
              Nov 16 '18 at 22:00












            • I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
              – HibaShaban
              Nov 16 '18 at 22:51
















            1














            We create a function to take vector as an argument ('val'), then loop through the list with sapply, check if all the 'valare%in%the 'x', andsumthe logicalvector`



            f1 <- function(lst, val) sum(sapply(lst, function(x) all(val %in% x)))
            f1(list, c(1, 2, 3))
            [#1] 3

            f1(list, c(4, 5))
            #[1] 2





            share|improve this answer



















            • 1




              Thanks! This worked
              – HibaShaban
              Nov 16 '18 at 20:34










            • So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
              – HibaShaban
              Nov 16 '18 at 22:00












            • I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
              – HibaShaban
              Nov 16 '18 at 22:51














            1












            1








            1






            We create a function to take vector as an argument ('val'), then loop through the list with sapply, check if all the 'valare%in%the 'x', andsumthe logicalvector`



            f1 <- function(lst, val) sum(sapply(lst, function(x) all(val %in% x)))
            f1(list, c(1, 2, 3))
            [#1] 3

            f1(list, c(4, 5))
            #[1] 2





            share|improve this answer














            We create a function to take vector as an argument ('val'), then loop through the list with sapply, check if all the 'valare%in%the 'x', andsumthe logicalvector`



            f1 <- function(lst, val) sum(sapply(lst, function(x) all(val %in% x)))
            f1(list, c(1, 2, 3))
            [#1] 3

            f1(list, c(4, 5))
            #[1] 2






            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 16 '18 at 20:30

























            answered Nov 16 '18 at 20:02









            akrun

            398k13187260




            398k13187260








            • 1




              Thanks! This worked
              – HibaShaban
              Nov 16 '18 at 20:34










            • So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
              – HibaShaban
              Nov 16 '18 at 22:00












            • I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
              – HibaShaban
              Nov 16 '18 at 22:51














            • 1




              Thanks! This worked
              – HibaShaban
              Nov 16 '18 at 20:34










            • So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
              – HibaShaban
              Nov 16 '18 at 22:00












            • I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
              – HibaShaban
              Nov 16 '18 at 22:51








            1




            1




            Thanks! This worked
            – HibaShaban
            Nov 16 '18 at 20:34




            Thanks! This worked
            – HibaShaban
            Nov 16 '18 at 20:34












            So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
            – HibaShaban
            Nov 16 '18 at 22:00






            So actually this half worked.. I'm not getting extra counts when the vectors contain more elements, example c<-(1,2,3,5) is being counted with c(1,2,3) how would I fix that?
            – HibaShaban
            Nov 16 '18 at 22:00














            I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
            – HibaShaban
            Nov 16 '18 at 22:51




            I've resorted to sorting the vectors and then using == instead of %in%. that's the only way I can think of for now. Would appreciate any other solutions.
            – HibaShaban
            Nov 16 '18 at 22:51


















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