Helper function for binding rows

• rbind_fill_id() Implements the common pattern of do.call(rbind, dfs) with data frame identifier and filling of missing values.

Usage

rbind_fill_id(..., .id = NULL, .fill = NA)

Arguments

...

The dataframes. Either a list of data frames, or a comma-separated list of dataframes.

.id

Data frame identifier. If a comma-separated list of data frames is supplied, the labels are taken from the names of the objects. When a list of data frames is supplied, the labels are taken from the names of the list. If no names are found, a numeric sequence is used instead.

.fill

When row-binding, columns are matched by name, and any missing columns will be filled with NA Defaults to NA.

Value

A data frame.

Author

Tiago Olivoto tiagoolivoto@gmail.com

Examples

# \donttest{
(df1 <- data.frame(v1 = c(1, 2), v2 = c(2, 3)))
#>   v1 v2
#> 1  1  2
#> 2  2  3
(df2 <- data.frame(v3 = c(4, 5)))
#>   v3
#> 1  4
#> 2  5
rbind_fill_id(df1, df2)
#>   v1 v2 v3
#> 1  1  2 NA
#> 2  2  3 NA
#> 3 NA NA  4
#> 4 NA NA  5
rbind_fill_id(df1, df2,
             .fill = ".",
             .id = "dfs")
#>   dfs v1 v2 v3
#> 1 df1  1  2  .
#> 2 df1  2  3  .
#> 3 df2  .  .  4
#> 4 df2  .  .  5

# Named list
list <- list(a = df1, b = df2)
rbind_fill_id(list, .id = "dfs")
#>   dfs v1 v2 v3
#> 1   a  1  2 NA
#> 2   a  2  3 NA
#> 3   b NA NA  4
#> 4   b NA NA  5

# Unnamed list
list <- list(df1, df2)
rbind_fill_id(list, .id = "dfs")
#>   dfs v1 v2 v3
#> 1   1  1  2 NA
#> 2   1  2  3 NA
#> 3   2 NA NA  4
#> 4   2 NA NA  5

# }