Convert a list to a data frame

Question

I have a nested list of data. Its length is 132 and each item is a list of length 20. Is there a quick way to convert this structure into a data frame that has 132 rows and 20 columns of data?

Here is some sample data to work with:

l <- replicate(   132,   as.list(sample(letters, 20)),   simplify = FALSE ) 

Answer 1

With rbind

do.call(rbind.data.frame, your_list) 

Edit: Previous version return data.frame of list's instead of vectors (as @IanSudbery pointed out in comments).

Answer 2

Update July 2020:

The default for the parameter stringsAsFactors is now default.stringsAsFactors() which in turn yields FALSE as its default.

---

Assuming your list of lists is called l:

df <- data.frame(matrix(unlist(l), nrow=length(l), byrow=TRUE)) 

The above will convert all character columns to factors, to avoid this you can add a parameter to the data.frame() call:

df <- data.frame(matrix(unlist(l), nrow=132, byrow=TRUE),stringsAsFactors=FALSE)