Convert a list of data frames into one data frame

Question

I have code that at one place ends up with a list of data frames which I really want to convert to a single big data frame. I got some pointers from an earlier question which was trying to do something similar but more complex. Here's an example of what I am starting with (this is grossly simplified for illustration): listOfDataFrames <- vector(mode = "list", length = 100) for (i in 1:100) { listOfDataFrames[[i]] <- data.frame(a=sample(letters, 500, rep=T), b=rnorm(500), c=rnorm(500)) } I am currently using this: df <- do.call("rbind", listOfDataFrames) Select the correct answer from above options

Answer 1

To combine several data frames into one data frame, you can use the bind_rows() function from the dplyr package that adds the unique row names based on the names of list elements. In your case: bind_rows(list_of_dataframes, .id = "column_label") For example: df1 <- mtcars[1:4, ] df2 <- mtcars[11:14, ] bind_rows(df1, df2) Output: mpg cyl disp hp drat wt qsec vs am gear carb 1 21.0 Six 160.0 110 3.90 2.620 16.46 0 1 4 4 2 21.0 Six 160.0 110 3.90 2.875 17.02 0 1 4 4 3 22.8 Four 108.0 93 3.85 2.320 18.61 1 1 4 1 4 21.4 Six 258.0 110 3.08 3.215 19.44 1 0 3 1 5 17.8 Six 167.6 123 3.92 3.440 18.90 1 0 4 4 6 16.4 Eight 275.8 180 3.07 4.070 17.40 0 0 3 3 7 17.3 Eight 275.8 180 3.07 3.730 17.60 0 0 3 3 8 15.2 Eight 275.8 180 3.07 3.780 18.00 0 0 3 3 You can read more about it here.