Welcome to the Tidyverse

Welcome to the Tidyverse - Published in JOSS (2019)

https://github.com/tidyverse/tidyverse

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
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    3 of 38 committers (7.9%) from academic institutions
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    Low similarity (19.3%) to scientific vocabulary

Keywords

data-science r tidyverse

Keywords from Contributors

tidy-data exploratory-data-analysis ropensci reproducibility missingness visualisation spatial-data history digital-history twitter
Last synced: 9 months ago · JSON representation

Repository

Easily install and load packages from the tidyverse

Basic Info
Statistics
  • Stars: 1,754
  • Watchers: 98
  • Forks: 291
  • Open Issues: 10
  • Releases: 9
Topics
data-science r tidyverse
Created over 9 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Support Codemeta

README.Rmd

---
output: github_document
---


```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
options(cli.hyperlink = FALSE)
```

# tidyverse 


[![CRAN status](https://www.r-pkg.org/badges/version/tidyverse)](https://cran.r-project.org/package=tidyverse)
[![R-CMD-check](https://github.com/tidyverse/tidyverse/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidyverse/tidyverse/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/tidyverse/tidyverse/branch/main/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/tidyverse?branch=main)


## Overview

The tidyverse is a set of packages that work in harmony because they share common data representations and API design. The __tidyverse__ package is designed to make it easy to install and load core packages from the tidyverse in a single command.

If you'd like to learn how to use the tidyverse effectively, the best place to start is [R for Data Science (2e)](https://r4ds.hadley.nz/).

## Installation

::: .pkgdown-release
```{r eval = FALSE}
# Install from CRAN
install.packages("pak")
```

If you have any problems installing tidyverse, we recommend trying with [pak](https://pak.r-lib.org) since it is likely to help diagnose the problem:

```{r eval = FALSE}
# install.packages("pak")
pak::pak("tidyverse")
```

:::

::: .pkgdown-devel
```{r eval = FALSE}
# Install the development version from GitHub
# install.packages("pak")
pak::pak("tidyverse/tidyverse")
```
:::

If you're compiling from source, you can run `pak::pkg_system_requirements("tidyverse")`, to see the complete set of system packages needed on your machine.

## Usage

`library(tidyverse)` will load the core tidyverse packages:

* [ggplot2](https://ggplot2.tidyverse.org), for data visualisation.
* [dplyr](https://dplyr.tidyverse.org), for data manipulation.
* [tidyr](https://tidyr.tidyverse.org), for data tidying.
* [readr](https://readr.tidyverse.org), for data import.
* [purrr](https://purrr.tidyverse.org), for functional programming.
* [tibble](https://tibble.tidyverse.org), for tibbles, a modern re-imagining of data frames.
* [stringr](https://github.com/tidyverse/stringr), for strings.
* [forcats](https://github.com/tidyverse/forcats), for factors.
* [lubridate](https://github.com/tidyverse/lubridate), for date/times.

You also get a condensed summary of conflicts with other packages you have loaded:

```{r example}
library(tidyverse)
```

You can see conflicts created later with `tidyverse_conflicts()`:

```{r conflicts}
library(MASS)
tidyverse_conflicts()
```

And you can check that all tidyverse packages are up-to-date with `tidyverse_update()`:

```{r update, eval = FALSE}
tidyverse_update()
#> The following packages are out of date:
#>  * broom (0.4.0 -> 0.4.1)
#>  * DBI   (0.4.1 -> 0.5)
#>  * Rcpp  (0.12.6 -> 0.12.7)
#>
#> Start a clean R session then run:
#> install.packages(c("broom", "DBI", "Rcpp"))
```

## Packages

As well as the core tidyverse, installing this package also installs a selection of other packages that you're likely to use frequently, but probably not in every analysis. This includes packages for:

*   Working with specific types of vectors:

    * [hms](https://github.com/tidyverse/hms), for times.

*   Importing other types of data:

    * [haven](https://github.com/tidyverse/haven), for SPSS, SAS and Stata files.
    * [httr](https://github.com/r-lib/httr), for web apis.
    * [jsonlite](https://github.com/jeroen/jsonlite) for JSON.
    * [readxl](https://github.com/tidyverse/readxl), for `.xls` and `.xlsx` files.
    * [rvest](https://github.com/tidyverse/rvest), for web scraping.
    * [xml2](https://github.com/r-lib/xml2), for XML.

*   Modelling

    * [broom](https://github.com/tidymodels/broom), for turning models into
      tidy data

## Code of Conduct

Please note that the tidyverse project is released with a [Contributor Code of Conduct](https://tidyverse.tidyverse.org/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.

Owner

  • Name: tidyverse
  • Login: tidyverse
  • Kind: organization

The tidyverse is a collection of R packages that share common principles and are designed to work together seamlessly

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Jeroen Ooms j****s@g****m 2
Michael Chirico m****4@g****m 2
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Packages

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cran.r-project.org: tidyverse

Easily Install and Load the 'Tidyverse'

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  • Versions: 5
  • Dependent Packages: 4
  • Dependent Repositories: 173
Rankings
Dependent repos count: 2.6%
Average: 9.0%
Stargazers count: 10.5%
Forks count: 10.6%
Dependent packages count: 12.5%
Last synced: 9 months ago
proxy.golang.org: github.com/tidyverse/tidyverse
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 9.0%
Average: 9.6%
Dependent repos count: 10.2%
Last synced: 9 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.3 depends
  • broom >= 0.7.10 imports
  • cli >= 3.1.0 imports
  • crayon >= 1.4.2 imports
  • dbplyr >= 2.1.1 imports
  • dplyr >= 1.0.7 imports
  • dtplyr >= 1.2.0 imports
  • forcats >= 0.5.1 imports
  • ggplot2 >= 3.3.5 imports
  • googledrive >= 2.0.0 imports
  • googlesheets4 >= 1.0.0 imports
  • haven >= 2.4.3 imports
  • hms >= 1.1.1 imports
  • httr >= 1.4.2 imports
  • jsonlite >= 1.7.2 imports
  • lubridate >= 1.8.0 imports
  • magrittr >= 2.0.1 imports
  • modelr >= 0.1.8 imports
  • pillar >= 1.6.4 imports
  • purrr >= 0.3.4 imports
  • readr >= 2.1.1 imports
  • readxl >= 1.3.1 imports
  • reprex >= 2.0.1 imports
  • rlang >= 0.4.12 imports
  • rstudioapi >= 0.13 imports
  • rvest >= 1.0.2 imports
  • stringr >= 1.4.0 imports
  • tibble >= 3.1.6 imports
  • tidyr >= 1.1.4 imports
  • xml2 >= 1.3.3 imports
  • covr * suggests
  • feather * suggests
  • glue * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action 4.1.4 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pr-commands.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/pr-fetch v2 composite
  • r-lib/actions/pr-push v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite