Multiple Separators for the same file input R

Question

I\'ve had a look for answers, but have only found things referring to C or C#. I realise that much of R is written in C but my knowledge of it is non-existent. I am also re

Answer 1

I find the functions in package splitstackshape convenient in cases like this.

library(splitstackshape)

# split concatenated column by `_`
results2 <- concat.split(data = results, split.col = "V3", sep = "_", drop = TRUE)

# split the remaining concatenated part by `-`
results3 <- concat.split(data = results2, split.col = "V3_5", sep = "-", drop = TRUE)
results3

Answer 2

library(stringr)

results <- read.delim("~/results", header=F)
results <- cbind(results,str_split_fixed(results$V3, "[_-]", 9))

(this assumes you're OK with having the original column still in place)

Answer 3

Try this:

# dummy data
df <- read.table(text="
Name    Name1   *XYZ_Name3_KB_MobApp_M-18-25_AU_PI ANDROID  2013-09-32 14:39:55.0   2013-10-16 13:58:00.0   0   218 4   93  1377907200000
Name    Name2   *CCC_Name3_KB_MobApp_M-18-25_AU_PI ANDROID  2013-09-32 14:39:55.0   2013-10-16 13:58:00.0   0   218 4   93  1377907200000
", as.is = TRUE)

# replace "_" to "-"
df_V3 <- gsub(pattern="_", replacement="-", df$V3, fixed = TRUE)

# strsplit, make dataframe
df_V3 <- do.call(rbind.data.frame, strsplit(df_V3, split = "-"))

# output, merge columns
output <- cbind(df[, c(1:2)],
                df_V3,
                df[, c(4:ncol(df))])

---

Building on the comments below, here is another related option, but one which uses read.table instead of strsplit.

splitCol <- "V3"
temp <- read.table(text = gsub("-", "_", df[, splitCol]), sep = "_")
names(temp) <- paste(splitCol, seq_along(temp), sep = "_")
cbind(df[setdiff(names(df), splitCol)], temp)