Separate a column into multiple columns using tidyr::separate with sep=“”

Question

df <- data.frame(category = c(\"X\", \"Y\"), sequence = c(\"AAT.G\", \"CCG-T\"), stringsAsFactors = FALSE)

df
 category sequence
1        X     AAT.G
2        Y          


        

Answer 1

sep can be an integer vector. It would be sufficient to use sep=1:4 but the 5 works too and it looks a bit better.

df %>% separate(sequence, into = paste0("V", 1:5), sep = 1:5)

giving:

  category V1 V2 V3 V4 V5
1        X  A  A  T  .  G
2        Y  C  C  G  -  T

Answer 2

You could do this with extract from tidyr

library(tidyr)
extract(df, sequence, into=paste0('V', 1:5), '(.)(.)(.)(.)(.)')
#  category V1 V2 V3 V4 V5
#1        X  A  A  T  .  G
#2        Y  C  C  G  -  T

Or create a delimiter with gsub and use that as sep for the separator

library(dplyr)
library(tidyr)
df %>% 
   mutate(sequence=gsub('(?<=.)(?=.)', ',', sequence, perl=TRUE)) %>% 
   separate(sequence, into=paste0('V', 1:5), sep=",")
#  category V1 V2 V3 V4 V5
#1        X  A  A  T  .  G
#2        Y  C  C  G  -  T

Or you can use cSplit

library(splitstackshape)
setnames(cSplit(df, 'sequence', '', stripWhite=FALSE),
             2:6, paste0('V', 1:5))[]
#   category V1 V2 V3 V4 V5
#1:        X  A  A  T  .  G
#2:        Y  C  C  G  -  T