dplyr: repeating rows based on splitted factor











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0
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I was wondering if it is possible to use dplyr to repeat rows based on the result of a function.



If I have a data frame that looks like this:



df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

count type subtype
1 1 A a
2 2 B a,b
3 3 C c
4 4 D d


Is it possible to repeat the same row for each subtype letter after splitting them according the the comma? I would like to get something like this:



  count type subtype
1 1 A a
2 2 B a
3 2 B b
4 3 C c
5 4 D d


I tried using rowwise + do but I'm still struggling with no results!



Thanks in advance,



Giovanni










share|improve this question






















  • Try separate_rows function from tidyr: rdrr.io/cran/tidyr/man/separate_rows.html
    – AntoniosK
    Nov 8 at 12:00















up vote
0
down vote

favorite












I was wondering if it is possible to use dplyr to repeat rows based on the result of a function.



If I have a data frame that looks like this:



df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

count type subtype
1 1 A a
2 2 B a,b
3 3 C c
4 4 D d


Is it possible to repeat the same row for each subtype letter after splitting them according the the comma? I would like to get something like this:



  count type subtype
1 1 A a
2 2 B a
3 2 B b
4 3 C c
5 4 D d


I tried using rowwise + do but I'm still struggling with no results!



Thanks in advance,



Giovanni










share|improve this question






















  • Try separate_rows function from tidyr: rdrr.io/cran/tidyr/man/separate_rows.html
    – AntoniosK
    Nov 8 at 12:00













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I was wondering if it is possible to use dplyr to repeat rows based on the result of a function.



If I have a data frame that looks like this:



df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

count type subtype
1 1 A a
2 2 B a,b
3 3 C c
4 4 D d


Is it possible to repeat the same row for each subtype letter after splitting them according the the comma? I would like to get something like this:



  count type subtype
1 1 A a
2 2 B a
3 2 B b
4 3 C c
5 4 D d


I tried using rowwise + do but I'm still struggling with no results!



Thanks in advance,



Giovanni










share|improve this question













I was wondering if it is possible to use dplyr to repeat rows based on the result of a function.



If I have a data frame that looks like this:



df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

count type subtype
1 1 A a
2 2 B a,b
3 3 C c
4 4 D d


Is it possible to repeat the same row for each subtype letter after splitting them according the the comma? I would like to get something like this:



  count type subtype
1 1 A a
2 2 B a
3 2 B b
4 3 C c
5 4 D d


I tried using rowwise + do but I'm still struggling with no results!



Thanks in advance,



Giovanni







r dplyr duplicates rows rowwise






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 8 at 11:49









Giovanni

6117




6117












  • Try separate_rows function from tidyr: rdrr.io/cran/tidyr/man/separate_rows.html
    – AntoniosK
    Nov 8 at 12:00


















  • Try separate_rows function from tidyr: rdrr.io/cran/tidyr/man/separate_rows.html
    – AntoniosK
    Nov 8 at 12:00
















Try separate_rows function from tidyr: rdrr.io/cran/tidyr/man/separate_rows.html
– AntoniosK
Nov 8 at 12:00




Try separate_rows function from tidyr: rdrr.io/cran/tidyr/man/separate_rows.html
– AntoniosK
Nov 8 at 12:00












1 Answer
1






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up vote
1
down vote



accepted










df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

library(tidyverse)

df %>% separate_rows(subtype)

# count type subtype
# 1 1 A a
# 2 2 B a
# 3 2 B b
# 4 3 C c
# 5 4 D d





share|improve this answer

















  • 1




    Brilliant! It worked, thanks a lot!
    – Giovanni
    Nov 8 at 12:57











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1 Answer
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active

oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
1
down vote



accepted










df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

library(tidyverse)

df %>% separate_rows(subtype)

# count type subtype
# 1 1 A a
# 2 2 B a
# 3 2 B b
# 4 3 C c
# 5 4 D d





share|improve this answer

















  • 1




    Brilliant! It worked, thanks a lot!
    – Giovanni
    Nov 8 at 12:57















up vote
1
down vote



accepted










df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

library(tidyverse)

df %>% separate_rows(subtype)

# count type subtype
# 1 1 A a
# 2 2 B a
# 3 2 B b
# 4 3 C c
# 5 4 D d





share|improve this answer

















  • 1




    Brilliant! It worked, thanks a lot!
    – Giovanni
    Nov 8 at 12:57













up vote
1
down vote



accepted







up vote
1
down vote



accepted






df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

library(tidyverse)

df %>% separate_rows(subtype)

# count type subtype
# 1 1 A a
# 2 2 B a
# 3 2 B b
# 4 3 C c
# 5 4 D d





share|improve this answer












df <- data.frame(count = 1:4, type = LETTERS[1:4], subtype = letters[1:4], 
stringsAsFactors = F)
df[2,"subtype"] <- "a,b"

library(tidyverse)

df %>% separate_rows(subtype)

# count type subtype
# 1 1 A a
# 2 2 B a
# 3 2 B b
# 4 3 C c
# 5 4 D d






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 8 at 12:03









AntoniosK

12k1822




12k1822








  • 1




    Brilliant! It worked, thanks a lot!
    – Giovanni
    Nov 8 at 12:57














  • 1




    Brilliant! It worked, thanks a lot!
    – Giovanni
    Nov 8 at 12:57








1




1




Brilliant! It worked, thanks a lot!
– Giovanni
Nov 8 at 12:57




Brilliant! It worked, thanks a lot!
– Giovanni
Nov 8 at 12:57


















 

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