bind {tidybulk} | R Documentation

## Efficiently bind multiple data frames by row and column

### Description

This is an efficient implementation of the common pattern of 'do.call(rbind, dfs)' or 'do.call(cbind, dfs)' for binding many data frames into one.

### Usage

    bind_rows(..., .id = NULL)

    bind_cols(..., .id = NULL)

### Arguments

`...` | Data frames to combine. Each argument can either be a data frame, a list that could be a data frame, or a list of data frames. When row-binding, columns are matched by name, and any missing columns will be filled with NA. When column-binding, rows are matched by position, so all data frames must have the same number of rows. To match by value, not position, see [mutate-joins].
`.id` | Data frame identifier. When '.id' is supplied, a new column of identifiers is created to link each row to its original data frame. The labels are taken from the named arguments to 'bind_rows()'. 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.

### Details

The output of 'bind_rows()' will contain a column if that column appears in any of the inputs.

### Value

'bind_rows()' and 'bind_cols()' return the same type as the first input, either a data frame, 'tbl_df', or 'grouped_df'.

### Examples

    `%>%` = magrittr::`%>%`
    one <- mtcars[1:4, ]
    two <- mtcars[11:14, ]

    # You can supply data frames as arguments:
    bind_rows(one, two)

[Package tidybulk version 1.4.0 Index]