Splitting rows with uneven string length into columns in R using tidyr [duplicate]

Question

This question already has an answer here:

• Split data frame string column into multiple columns 14 answers

Edit: This was marked as a duplicate. It is not. The question here is not only about splitting a single column into multiple ones, as my separate code would had worked. The main point of my question is splitting the column when the row string possess varying lengths of column output.

I'm trying to turn this:

data <- c("Place1-Place2-Place2-Place4-Place2-Place3-Place5",
          "Place7-Place7-Place7-Place7-Place7-Place7-Place7-Place7",
          "Place1-Place1-Place1-Place1-Place3-Place5",
          "Place1-Place4-Place2-Place3-Place3-Place5-Place5",
          "Place6-Place6",
          "Place1-Place2-Place3-Place4")

Into this:

      X1     X2     X3     X4     X5     X6     X7     X8
1 Place1 Place2 Place2 Place4 Place2 Place3 Place5 
2 Place7 Place7 Place7 Place7 Place7 Place7 Place7 Place7
3 Place1 Place1 Place1 Place1 Place3 Place5 
4 Place1 Place4 Place2 Place3 Place3 Place5 Place5 
5 Place6 Place6 
6 Place1 Place2 Place3 Place4

I tried to use tidyr's seperate function using this code:

library(data.table)
data <- as.data.table(data)
data_table <- tidyr::separate(data,
                            data,
                            sep="-",
                            into = strsplit(data$data, "-"),
                            fill = "right")

Sadly I'm getting this error:

Warning message:
Too many values at 3 locations: 1, 2, 4 

What do I need to change to make it work?

Answer 1

You specify the target columns correctly:

library(tidyr)
separate(DF, V1, paste0("X",1:8), sep="-")

which gives:

      X1     X2     X3     X4     X5     X6     X7     X8
1 Place1 Place2 Place2 Place4 Place2 Place3 Place5   <NA>
2 Place7 Place7 Place7 Place7 Place7 Place7 Place7 Place7
3 Place1 Place1 Place1 Place1 Place3 Place5   <NA>   <NA>
4 Place1 Place4 Place2 Place3 Place3 Place5 Place5   <NA>
5 Place6 Place6   <NA>   <NA>   <NA>   <NA>   <NA>   <NA>
6 Place1 Place2 Place3 Place4   <NA>   <NA>   <NA>   <NA>

If you don't know how many target columns you need beforehand, you can use:

> max(sapply(strsplit(as.character(DF$V1),'-'),length))
[1] 8

to extract the maximum number of parts (which is thus the number of columns you need).

---

Several other methods:

splitstackshape :

library(splitstackshape)
cSplit(DF, "V1", sep="-", direction = "wide")

stringi :

library(stringi)
as.data.frame(stri_list2matrix(stri_split_fixed(DF$V1, "-"), byrow = TRUE))

data.table :

library(data.table)
setDT(DF)[, paste0("v", 1:8) := tstrsplit(V1, "-")][, V1 := NULL][]

stringr :

library(stringr)
as.data.frame(str_split_fixed(DF$V1, "-",8))

which all give a similar result.

---

Used data:

DF <- data.frame(V1=c("Place1-Place2-Place2-Place4-Place2-Place3-Place5",
                      "Place7-Place7-Place7-Place7-Place7-Place7-Place7-Place7",
                      "Place1-Place1-Place1-Place1-Place3-Place5",
                      "Place1-Place4-Place2-Place3-Place3-Place5-Place5",
                      "Place6-Place6",
                      "Place1-Place2-Place3-Place4"))