Issue converting matrix to dataframe-CodePudding

I am trying to look at some combinations. However, when I run the code that generates the combinations, the output looks like it is a matrix. I have tried to convert the matrix to a dataframe and it either crashes R or combines everything into one column. I was wondering if anyone knew how to fix this.

Here is an example dataset

    structure(list(V1 = structure(1:3, .Label = c("a", "b", "c"), class = "factor")), class = "data.frame", row.names = c(NA, 
-3L))

Here is the code that I am using to create the combinations

library(arrangements)
two <- (combinations(b$V1, 2))

Here is what I was using to try and convert the data into a dataframe but everything just get combined into one column

two <- as.data.frame((combinations(b$V1, 2)))

So for this example above, I was hoping that the output would have two columns and three rows

I really need the output in a dataframe because I need to do some more downstream work on the output of the combinations

CodePudding user response：

We may need as a list

as.data.frame(combn(as.character(b$V1), 2, simplify = FALSE))

In the OP's post, the column is factor. It may need to be converted to character

 as.data.frame(combinations(as.character(b$V1), 2))
          V1         V2
1 AL033528.3     THRAP3
2 AL033528.3 AC106707.1
3 AL033528.3       LIPH
4     THRAP3 AC106707.1
5     THRAP3       LIPH
6 AC106707.1       LIPH

CodePudding user response：

Another solution:

data.frame(
  V1=t(combn(b$V1,2))[,1],
  V2=t(combn(b$V1,2))[,2])