convert_f_defaults: Rename columns and add defaults values if column not present

In saezlab/decoupleR: decoupleR: Ensemble of computational methods to infer biological activities from omics data

Rename columns and add defaults values if column not present

Description

convert_f_defaults() combine the dplyr::rename() way of working and with the tibble::add_column() to add columns with default values in case they don't exist after renaming data.

Usage

convert_f_defaults(.data, ..., .def_col_val = c(), .use_dots = TRUE)

Arguments

.data	A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details.
...	For rename(): <tidy-select> Use new_name = old_name to rename selected variables. For rename_with(): additional arguments passed onto .fn.
.def_col_val	Named vector with columns with default values if none exist after rename.
.use_dots	Should a dot prefix be added to renamed variables? This will allow swapping of columns.

Details

The objective of using .use_dots is to be able to swap columns which, by default, is not allowed by the dplyr::rename() function. The same behavior can be replicated by simply using the dplyr::select(), however, the select evaluation allows much more flexibility so that unexpected results could be obtained. Despite this, a future implementation will consider this form of execution to allow renaming the same column to multiple ones (i.e. extend dataframe extension).

Value

An object of the same type as .data. The output has the following properties:

• Rows are not affected.

• Column names are changed.

• Column order is the same as that of the function call.

Examples

df <- tibble::tibble(x = 1, y = 2, z = 3)

# Rename columns
df <- tibble::tibble(x = 1, y = 2)
convert_f_defaults(
    .data = df,
    new_x = x,
    new_y = y,
    new_z = NULL,
    .def_col_val = c(new_z = 3)
)

saezlab/decoupleR documentation built on April 12, 2024, 10:41 a.m.