Title:	Easily Install and Load the 'healthyverse'
Version:	1.1.0
Description:	The 'healthyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'healthyverse' packages in a single step.
License:	MIT + file LICENSE
Encoding:	UTF-8
RoxygenNote:	7.3.2.9000
URL:	https://www.spsanderson.com/healthyverse/, https://github.com/spsanderson/healthyverse
BugReports:	https://github.com/spsanderson/healthyverse/issues
Depends:	R (≥ 3.4.0)
Suggests:	knitr, rmarkdown
VignetteBuilder:	knitr
Imports:	healthyR (≥ 0.2.2), healthyR.data (≥ 1.1.1), healthyR.ts (≥ 0.3.0), healthyR.ai (≥ 0.1.0), TidyDensity (≥ 1.5.0), tidyAML (≥ 0.0.5), RandomWalker (≥ 0.1.0), dplyr (≥ 1.1.4), purrr (≥ 1.0.2), tibble (≥ 3.2.1), magrittr (≥ 2.0.3), rlang (≥ 1.1.4), crayon (≥ 1.5.3), rstudioapi (≥ 0.16.0), cli (≥ 3.6.3)
NeedsCompilation:	no
Packaged:	2024-09-18 02:41:38 UTC; steve
Author:	Steven Sanderson [aut, cre, cph]
Maintainer:	Steven Sanderson <spsanderson@gmail.com>
Repository:	CRAN
Date/Publication:	2024-09-18 02:50:02 UTC

healthyverse: Easily Install and Load the 'healthyverse'

Description

The 'healthyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'healthyverse' packages in a single step.

Author(s)

Maintainer: Steven Sanderson spsanderson@gmail.com (ORCID) [copyright holder]

See Also

Useful links:

• https://www.spsanderson.com/healthyverse/

• https://github.com/spsanderson/healthyverse

• Report bugs at https://github.com/spsanderson/healthyverse/issues

Pipe operator

Description

See magrittr::%>% for details.

Usage

lhs %>% rhs

Value

These functions do not return a value but rather are used for side effects.

Conflicts between the healthyverse and other packages

Description

This function lists all the conflicts between packages in the healthyverse and other packages that you have loaded.

Usage

healthyverse_conflicts()

Details

There are four conflicts that are deliberately ignored: intersect, union, setequal, and setdiff from dplyr. These functions make the base equivalents generic, so shouldn't negatively affect any existing code.

Value

A message in regards to library conflicts.

Examples

healthyverse_conflicts()

List all healthyverse dependencies

Description

List all healthyverse dependencies

Usage

healthyverse_deps(recursive = FALSE, repos = getOption("repos"))

Arguments

Value

A message indicating the dependencies of the healthyverse

List all packages in the healthyverse

Description

List all packages in the healthyverse

Usage

healthyverse_packages(include_self = TRUE)

Arguments

Value

A list of the healthyverse packages

Examples

healthyverse_packages()

Get a situation report on the healthyverse

Description

This function gives a quick overview of the versions of R and RStudio as well as all healthyverse packages. It's primarily designed to help you get a quick idea of what's going on when you're helping someone else debug a problem.

Usage

healthyverse_sitrep()

Value

Get a situation report of the healthyverse

Update healthyverse packages

Description

This will check to see if all healthyverse packages (and optionally, their dependencies) are up-to-date, and will install after an interactive confirmation.

Usage

healthyverse_update(recursive = FALSE, repos = getOption("repos"))

Arguments

Value

This function do not return a value but rather are used for side effects.

Examples

## Not run: 
healthyverse_update()

## End(Not run)

Tidy eval helpers

Description

• sym() creates a symbol from a string and syms() creates a list of symbols from a character vector.

• enquo() and enquos() delay the execution of one or several function arguments. enquo() returns a single quoted expression, which is like a blueprint for the delayed computation. enquos() returns a list of such quoted expressions.

• expr() quotes a new expression locally. It is mostly useful to build new expressions around arguments captured with enquo() or enquos(): expr(mean(!!enquo(arg), na.rm = TRUE)).

• as_name() transforms a quoted variable name into a string. Supplying something else than a quoted variable name is an error.

  That's unlike as_label() which also returns a single string but supports any kind of R object as input, including quoted function calls and vectors. Its purpose is to summarise that object into a single label. That label is often suitable as a default name.

  If you don't know what a quoted expression contains (for instance expressions captured with enquo() could be a variable name, a call to a function, or an unquoted constant), then use as_label(). If you know you have quoted a simple variable name, or would like to enforce this, use as_name().

To learn more about tidy eval and how to use these tools, visit Metaprogramming section of Advanced R.

Value

These functions do not return a value but rather are used for side effects.