dplyr

dplyr provides a grammar of data manipulation using a consistent set of verbs:

• mutate(): Adds new variables as functions of existing variables.
• select(): Picks variables based on their names.
• filter(): Picks cases (rows) based on their values.
• summarise(): Reduces multiple values down to a single summary.
• arrange(): Changes the ordering of the rows.
• group_by(): Allows any of the above operations to be performed "by group".

To use the latest features or bug fixes from the development branch, install dplyr from GitHub using pak::pak().

# install.packages("pak")
pak::pak("tidyverse/dplyr")

You can install dplyr either as part of the full tidyverse collection or as a standalone package. To install the development version from GitHub, use the pak package.

# The easiest way to get dplyr is to install the whole tidyverse:
install.packages("tidyverse")

# Alternatively, install just dplyr:
install.packages("dplyr")

To retrieve more detailed information regarding reverse dependency failures for a specific package, use the revdepcheck::cloud_details() function.

Example:

revdepcheck::cloud_details(, "FairMclus")

The arrow package may fail tests due to the group_by() function. The add argument in group_by() was deprecated in dplyr 1.0.0 and is now defunct. To resolve this, replace the add argument with the .add argument.

Error: The `add` argument of `group_by()` was deprecated in dplyr 1.0.0 and is now defunct.
i Please use the `.add` argument instead.

The function dplyr::tbl_df() was deprecated in dplyr 1.0.0 and is now defunct. To resolve errors in code or examples, replace all calls to tbl_df() with tibble::as_tibble().

Example of the error:

# This will fail in newer dplyr versions
tbl <- tbl_df(df)

Correct usage:

# Use this instead
tbl <- tibble::as_tibble(df)

The package dbplot (v0.3.3) fails examples and tests because the add argument in group_by() was deprecated in dplyr 1.0.0 and is now defunct. To resolve this, replace add = with the .add argument.

Error: ! The `add` argument of `group_by()` was deprecated in dplyr 1.0.0 and is now defunct. ℹ Please use the `.add` argument instead.

The package FairMclus (version 2.2.1) fails during lazy loading in the Devel environment because it attempts to access an object id that is not exported by the dplyr namespace.

Error Signature:

Error: object ‘id’ is not exported by 'namespace:dplyr'
Execution halted
ERROR: lazy loading failed for package ‘FairMclus’

When installing a package from a development version (Devel), you may encounter an error stating that an object is not exported by namespace:dplyr. This typically occurs during the lazy loading phase of installation.

Example error: Error: object ‘location’ is not exported by 'namespace:dplyr'

This indicates the package is attempting to access a dplyr function or object that is no longer part of the public API. You must update the package code to use an exported dplyr symbol or an alternative function.