rownames

0th

Percentile

Tools for working with row names

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.

Usage
has_rownames(df)remove_rownames(df)rownames_to_column(df, var = "rowname")rowid_to_column(df, var = "rowid")column_to_rownames(df, var = "rowname")
Arguments
df

A data frame

var

Name of column to use for rownames.

Details

In the printed output, the presence of row names is indicated by a star just above the row numbers.

Aliases
• rownames
• has_rownames
• remove_rownames
• rownames_to_column
• rowid_to_column
• column_to_rownames
Examples
# NOT RUN {
has_rownames(mtcars)
has_rownames(iris)
has_rownames(remove_rownames(mtcars))