R- How to merge/bind several dataframes considering that some of the called dataframes might not exist?

Question

I have to bind/merge dataframes in an iterative process in R. In occasions, some of the dataframes might not exist for reasons I will not explain here. I would like to know how I could bind dataframes even when calling some dataframe that does not exist. As an example, I have these dataframes:

df.R_H <- data.frame(A=c(0,4,5,6,7),
                  B=c(3,9,4,5,8),
                  C=c(1,2,4,2,6))

df.B_C <- data.frame(A=c(0,4,5,6,7),
                  B=c(3,9,4,5,8),
                  C=c(1,2,4,2,6))

df.G_H <- data.frame(A=c(0,4,5,6,7),
                  B=c(3,9,4,5,8),
                  C=c(1,2,4,2,6))

However, in my code I have this:

df5 <- rbind(df.R_H,df.B_C,df.G_H,df.R_C)
df5

How can I bind dataframes although df.R_C does not exist? I can not check individually which dataframes exists or not since I have hundreds of situations like this and I want to do it automatically even when some dataframe does not exist.

Answer 1

Another possible solution:

library(tidyverse)

df.R_H <- data.frame(A=c(0,4,5,6,7),
                     B=c(3,9,4,5,8),
                     C=c(1,2,4,2,6))

df.B_C <- data.frame(A=c(0,4,5,6,7),
                     B=c(3,9,4,5,8),
                     C=c(1,2,4,2,6))

df.G_H <- data.frame(A=c(0,4,5,6,7),
                     B=c(3,9,4,5,8),
                     C=c(1,2,4,2,6))

map_dfr(list("df.R_H","df.B_C","df.G_H","df.R_C"), ~ if (exists(.x)) {get(.x)})

#>    A B C
#> 1  0 3 1
#> 2  4 9 2
#> 3  5 4 4
#> 4  6 5 2
#> 5  7 8 6
#> 6  0 3 1
#> 7  4 9 2
#> 8  5 4 4
#> 9  6 5 2
#> 10 7 8 6
#> 11 0 3 1
#> 12 4 9 2
#> 13 5 4 4
#> 14 6 5 2
#> 15 7 8 6