bind {poorman}

Efficiently bind multiple data.frames by row and column

Description

Efficiently bind multiple data.frames by row and column

Usage

bind_cols(...)

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.

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

character(1). 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.

Examples

one <- mtcars[1:4, ]
two <- mtcars[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(mtcars, mtcars$cyl))
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),
  data.frame(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")

## Not run: 
# Rows need to match when column-binding
bind_cols(data.frame(x = 1:3), data.frame(y = 1:2))

# even with 0 columns
bind_cols(data.frame(x = 1:3), data.frame())

## End(Not run)

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