bind: Efficiently bind multiple data frames by row and column

In dplyr: A Grammar of Data Manipulation

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(
  ...,
  .name_repair = c("unique", "universal", "check_unique", "minimal")
)

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.
.name_repair	One of "unique", "universal", or "check_unique". See vctrs::vec_as_names() for the meaning of these options.

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

one <- starwars[1:4, ]
two <- starwars[9:12, ]

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

# The contents of lists are spliced automatically:
bind_rows(list(one, two))
bind_rows(split(starwars, starwars$homeworld))
bind_rows(list(one, two), list(two, one))


# In addition to data frames, you can supply vectors. In the rows
# direction, the vectors represent rows and should have inner
# names:
bind_rows(
  c(a = 1, b = 2),
  c(a = 3, b = 4)
)

# You can mix vectors and data frames:
bind_rows(
  c(a = 1, b = 2),
  tibble(a = 3:4, b = 5:6),
  c(a = 7, b = 8)
)


# 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(one, two), .id = "id")
bind_rows(list(a = one, b = two), .id = "id")
bind_rows("group 1" = one, "group 2" = two, .id = "groups")

# Columns don't need to match when row-binding
bind_rows(tibble(x = 1:3), tibble(y = 1:4))
## Not run: 
# Rows do need to match when column-binding
bind_cols(tibble(x = 1:3), tibble(y = 1:2))

# even with 0 columns
bind_cols(tibble(x = 1:3), tibble())

## End(Not run)

bind_cols(one, two)
bind_cols(list(one, two))

dplyr documentation built on June 19, 2021, 1:07 a.m.