bind_rows: Bind multiple data frames by row

In tidyverse/dplyr: A Grammar of Data Manipulation

Bind multiple data frames by row

Description

Bind any number of data frames by row, making a longer result. This is similar to do.call(rbind, dfs), but the output will contain all columns that appear in any of the inputs.

Usage

bind_rows(..., .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. Columns are matched by name, and any missing columns will be filled with NA.
.id	The name of an optional identifier column. Provide a string to create an output column that identifies each input. The column will use names if available, otherwise it will use positions.

Value

A data frame the same type as the first element of ....

Examples

df1 <- tibble(x = 1:2, y = letters[1:2])
df2 <- tibble(x = 4:5, z = 1:2)

# You can supply individual data frames as arguments:
bind_rows(df1, df2)

# Or a list of data frames:
bind_rows(list(df1, df2))

# When you supply a column name with the `.id` argument, a new
# column is created to link each row to its original data frame
bind_rows(list(df1, df2), .id = "id")
bind_rows(list(a = df1, b = df2), .id = "id")

tidyverse/dplyr documentation built on Nov. 4, 2024, 2:44 a.m.