Mass rbind.fill for many data frames

Question

I am attempting to row bind many data frames together into a single massive data frame. The data frames are named sequentially with the first named df1, the se

Answer 1

If you already have your df as a list which contains all your datasets from 1 to 100 you could have used a for loop as follows:

new_list <- list() for(i in 1:100){ new_list <- rbind.fill(newlist, data.frame(df[[i]])) }

Answer 2

do.call comes handy. The function you specify works on a list of arguments.

library(plyr)
df.fill <- lapply(ls(pattern = "df"), get)
df <- do.call("rbind.fill", df.fill)

> str(df)
'data.frame':   10000 obs. of  2 variables:
 $ x: int  1 2 3 4 5 6 7 8 9 10 ...
 $ y: num  1 11.1 21.2 31.3 41.4 ...

Answer 3

We can use bind_rows from dplyr

library(dplyr)
res <- bind_rows(mget(paste0("df", 1:100)))

Answer 4

Or with data.table::rbindlist . Set fill to true to take care of the missing values, if any.

rbindlist(mget(ls(pattern="df")), fill=TRUE)

         x          y
    1:   1    1.00000
    2:   2   11.09091
    3:   3   21.18182
    4:   4   31.27273
    5:   5   41.36364
   ---               
 9996:  96  959.63636
 9997:  97  969.72727
 9998:  98  979.81818
 9999:  99  989.90909
10000: 100 1000.00000