How can i split a column separated by multiple delimiter into separate columns in data frame
read.table(text = " Chr Nm1 Nm2 Nm3
chr10_100064111-100064134+Nfif 20 20 20
chr10_100064115-100064138-Kitl 30 19 40
chr10_100076865-100076888+Tert 60 440 18
chr10_100079974-100079997-Itg 50 11 23
chr10_100466221-100466244+Tmtc3 55 24 53", header = TRUE)
Chr gene Nm1 Nm2 Nm3
chr10_100064111-100064134 Nfif 20 20 20
chr10_100064115-100064138 Kitl 30 19 40
chr10_100076865-100076888 Tert 60 440 18
chr10_100079974-100079997 Itg 50 11 23 12
chr10_100466221-100466244 Tmtc3 55 24 53 12
i used
library(stringr)
df2 <- str_split_fixed(df1$name, "\\+", 2)
I would like to know how can we include both + and - delimiter
3 Answers
If you're trying to split one column into multiple, tidyr::separate is handy:
library(tidyr)
dat %>% separate(Chr, into = paste0('Chr', 1:3), sep = '[+-]')
# Chr1 Chr2 Chr3 Nm1 Nm2 Nm3
# 1 chr10_100064111 100064134 Nfif 20 20 20
# 2 chr10_100064115 100064138 Kitl 30 19 40
# 3 chr10_100076865 100076888 Tert 60 440 18
# 4 chr10_100079974 100079997 Itg 50 11 23
# 5 chr10_100466221 100466244 Tmtc3 55 24 53
This should work:
str_split_fixed(a, "[-+]", 2)
Here is a way to do this in base R with strsplit:
# split Chr into a list
tempList <- strsplit(as.character(df$Chr), split="[+-]")
# replace Chr with desired values
df$Chr <- sapply(tempList, function(i) paste(i[[1]], i[[2]], sep="-"))
# get Gene variable
df$gene <- sapply(tempList, "[[", 3)
