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Welcome | The tidyverse style guide

This site describes the style used throughout the tidyverse. It was derived from Google’s original R Style Guide - but Google’s current guide is derived from the tidyverse style guide. All style …

Style.tidyverse.org

DA: 19 PA: 19 MOZ Rank: 20

Tidy Messy Data • tidyr

Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. tidyr contains tools for changing the shape (pivoting) …

Tidyr.tidyverse.org

DA: 19 PA: 19 MOZ Rank: 21

Make Dealing with Dates a Little Easier • lubridate

Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, …

Lubridate.tidyverse.org

DA: 23 PA: 23 MOZ Rank: 26

Simple Data Frames • tibble

A tibble, or tbl_df, is a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. Tibbles are data.frames that are lazy and surly: they do …

Tibble.tidyverse.org

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Functional Programming Tools • purrr

Overview. purrr enhances R’s functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors. If you’ve never heard of FP …

Purrr.tidyverse.org

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Tidyverse - Tidy evaluation

This guide is now superseded by more recent efforts at documenting tidy evaluation in a user-friendly way. We now recommend reading: The new Programming with dplyr vignette. The …

Tidyeval.tidyverse.org

DA: 22 PA: 22 MOZ Rank: 28

Function reference • ggplot2

Programming with ggplot2. These functions provides tools to help you program with ggplot2, creating functions and for-loops that generate plots for you. aes_ () aes_string () aes_q () …

Ggplot2.tidyverse.org

DA: 21 PA: 11 MOZ Rank: 38

Nested data • tidyr - Tidyverse

Basics. A nested data frame is a data frame where one (or more) columns is a list of data frames. You can create simple nested data frames by hand: df1 <- tibble ( g = c (1, 2, 3), data = list ( …

Tidyr.tidyverse.org

DA: 19 PA: 19 MOZ Rank: 45

Getting help with tidyverse

Before opening a new issue, be sure to search issues and pull requests to make sure the bug hasn’t been reported and/or already fixed in the development version. By default, the search …

Tidyverse.tidyverse.org

DA: 23 PA: 13 MOZ Rank: 44

Rename columns — rename • dplyr - Tidyverse

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 …

Dplyr.tidyverse.org

DA: 19 PA: 22 MOZ Rank: 50

Modelling Functions that Work with the Pipe • modelr

Status. modelr is stable: it has achieved its goal of making it easier to teach modelling within the tidyverse. For more general modelling tasks, check out the family of “tidymodel” packages like …

Modelr.tidyverse.org

DA: 20 PA: 20 MOZ Rank: 31

A dplyr backend for databases • dbplyr

Overview. dbplyr is the database backend for dplyr. It allows you to use remote database tables as if they are in-memory data frames by automatically converting dplyr code into SQL. To …

Dbplyr.tidyverse.org

DA: 20 PA: 20 MOZ Rank: 32

Do more with dates and times in R • lubridate - Tidyverse

Parsing dates and times. Getting R to agree that your data contains the dates and times you think it does can be tricky. Lubridate simplifies that. Identify the order in which the year, month, and …

Lubridate.tidyverse.org

DA: 23 PA: 24 MOZ Rank: 59

Regular expressions • stringr - Tidyverse

Regular expressions are the default pattern engine in stringr. That means when you use a pattern matching function with a bare string, it’s equivalent to wrapping it in a call to regex (): # The …

Stringr.tidyverse.org

DA: 21 PA: 34 MOZ Rank: 68

Read a delimited file (including CSV and TSV) into a tibble

Read_csv() and read_tsv() are special cases of the more general read_delim(). They're useful for reading the most common types of flat file data, comma separated values and tab separated …

Readr.tidyverse.org

DA: 19 PA: 26 MOZ Rank: 59

An Interface to Google Drive • googledrive - Tidyverse

The metadata for one or more Drive files is held in a dribble, a “Drive tibble”. This is a data frame with one row per file. A dribble is returned (and accepted) by almost every function in …

Googledrive.tidyverse.org

DA: 25 PA: 25 MOZ Rank: 41

Tidyverse - Wikipedia

The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham and his team that "share an underlying design philosophy, …

En.wikipedia.org

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Tidyverse design guide

It is used by the tidyverse team to promote consistency across packages in the core tidyverse. But you can also use it to guide the design of your functions and packages to create interfaces …

Design.tidyverse.org

DA: 20 PA: 11 MOZ Rank: 48

What is the tidyverse? · R Views

The tidyverse is a coherent system of packages for data manipulation, exploration and visualization that share a common design philosophy. These were mostly developed by …

Rviews.rstudio.com

DA: 18 PA: 34 MOZ Rank: 70

Easily Harvest (Scrape) Web Pages • rvest

Overview. rvest helps you scrape (or harvest) data from web pages. It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like …

Rvest.tidyverse.org

DA: 19 PA: 19 MOZ Rank: 39

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