Description Usage Arguments Value Examples
While a tibble can have row names (e.g., when converting from a regular data
frame), they are removed when subsetting with the [
operator.
A warning will be raised when attempting to assign non-NULL
row names
to a tibble.
Generally, it is best to avoid row names, because they are basically a
character column with different semantics to every other column. These
functions allow to you detect if a data frame has row names
(has_rownames()
), remove them (remove_rownames()
), or convert
them back-and-forth between an explicit column (rownames_to_column()
and column_to_rownames()
).
Also included is rowid_to_column()
which
adds a column at the start of the dataframe of ascending sequential row
ids starting at 1. Note that this will remove any existing row names.
1 2 3 4 5 6 7 8 9 | has_rownames(.data)
remove_rownames(.data)
rownames_to_column(.data, var = "rowname")
rowid_to_column(.data, var = "rowid")
column_to_rownames(.data, var = "rowname")
|
.data |
A data frame. |
var |
Name of column to use for rownames. |
column_to_rownames()
always returns a data frame.
has_rownames()
returns a scalar logical.
All other functions return an object of the same class as the input.
1 2 3 4 5 6 7 8 9 | has_rownames(mtcars)
has_rownames(iris)
has_rownames(remove_rownames(mtcars))
head(rownames_to_column(mtcars))
mtcars_tbl <- as_tibble(rownames_to_column(mtcars))
mtcars_tbl
head(column_to_rownames(mtcars_tbl))
|
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