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I have a data.frame column that has values ​​like below. I want to use each cell and create two columns - num1 and num2, so num1 = everything before "-" and num2 = everything between "-" and "."

I am thinking to use the gregexpr function as shown here and write a for loop to iterate over each line. Is there a faster way to do this?

60-150.PNG
300-12.PNG

employee <- c('60-150.PNG','300-12.PNG')
employ.data <- data.frame(employee)
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5 answers


Try

library(tidyr)
extract(employ.data, employee, into=c('num1', 'num2'),
                    '([^-]*)-([^.]*)\\..*', convert=TRUE)
#   num1 num2
#1   60  150
#2  300   12

or

library(data.table)#v1.9.5+
setDT(employ.data)[, tstrsplit(employee, '[-.]', type.convert=TRUE)[-3]]
#    V1  V2
#1:  60 150
#2: 300  12

Or based on @rawr comment

 read.table(text=gsub('-|.PNG', ' ', employ.data$employee),
           col.names=c('num1', 'num2'))
 #   num1 num2
 #1   60  150
 #2  300   12

Update



To keep the original column

extract(employ.data, employee, into=c('num1', 'num2'), remove=FALSE,
        '([^-]*)-([^.]*)\\..*', convert=TRUE)
#    employee num1 num2
#1 60-150.PNG   60  150
#2 300-12.PNG  300   12

or

 setDT(employ.data)[, paste0('num', 1:2) := tstrsplit(employee, 
             '[-.]', type.convert=TRUE)[-3]]
 #     employee num1 num2
 #1: 60-150.PNG   60  150
 #2: 300-12.PNG  300   12

or

 cbind(employ.data, read.table(text=gsub('-|.PNG', ' ', 
     employ.data$employee),col.names=c('num1', 'num2')))
 #    employee num1 num2
 #1 60-150.PNG   60  150
 #2 300-12.PNG  300   12
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You can try cSplit

from my splitstackshape package:

library(splitstackshape)
cSplit(employ.data, "employee", "-|.PNG", fixed = FALSE)
#    employee_1 employee_2
# 1:         60        150
# 2:        300         12


Since you mention gregexpr

, you can probably try something like:

do.call(rbind, 
        regmatches(as.character(employ.data$employee), 
                   gregexpr("-|.PNG", employ.data$employee), 
                   invert = TRUE))[, -3]
     [,1]  [,2] 
[1,] "60"  "150"
[2,] "300" "12"
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Another option using stringi 

library(stringi)
data.frame(type.convert(stri_split_regex(employee, "[-.]", simplify = TRUE)[, -3]))
#    X1  X2
# 1  60 150
# 2 300  12
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Or with a simple one gsub

.

gsub("-.*", "", employ.data$employee) # substitute everything after - with nothing
gsub(".*-(.*)\\..*", "\\1", employ.data$employee) #keep only anything between - and .
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The function strsplit

will give you what you are looking for, list it.

employee <- c('60-150.PNG','300-12.PNG')
strsplit(employee, "[-]")

##Output:

[[1]]
[1] "60"      "150.PNG"

[[2]]
[1] "300"    "12.PNG"

Note that the second argument strsplit

is the regexp value, not just the character to split, so a more complex regexp can be used.

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