https://github.com/paulponcet/lplyr

'dplyr' verbs for lists and other verbs for data frames
https://github.com/paulponcet/lplyr

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'dplyr' verbs for lists and other verbs for data frames

• Host: GitHub
• URL: https://github.com/paulponcet/lplyr
• Owner: paulponcet
• License: other
• Created: 2016-12-17T23:01:03.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-11-15T23:58:18.000Z (almost 6 years ago)
• Last Synced: 2024-06-11T16:59:24.633Z (5 months ago)
• Language: R
• Homepage:
• Size: 32.2 KB
• Stars: 46
• Watchers: 4
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# lplyr: dplyr verbs for lists and other verbs for data frames

[![Travis-CI Build Status](https://travis-ci.org/paulponcet/lplyr.svg?branch=master)](https://travis-ci.org/paulponcet/lplyr) [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/lplyr)](https://cran.r-project.org/package=lplyr) [![](https://cranlogs.r-pkg.org/badges/lplyr)](https://cran.r-project.org/package=lplyr)

## Installation

You can install 'lplyr' from GitHub with:

```R

# install.packages("devtools")

devtools::install_github("paulponcet/lplyr")

```

## Verbs for lists and pairlists 

The package 'lplyr' extends some dplyr verbs to lists and pairlists: 

```R

library(lplyr)

xs <- list(x1 = 1:3, 

           x2 = 2:5, 

           x3 = list("alpha", c("beta", "gamma")))

           

mutate(xs, x4 = 4)

rename(xs, x0 = x1)

```

Usual verbs made for standard evaluation work as well: 

```R

mutate_(xs, x4 = ~ 4)

rename_(xs, x0 = ~ x1)

```

## New verbs for data frames

The `mutate_which` and `transmute_which` functions are made for adding new variables or modifying existing ones on a subset of the data. 

```R

df <- mtcars[1:10,]

mutate_which(df, gear==4, carb = 100)

transmute_which(df, gear==4, carb = 100)

```

There is also a standard evaluation version of these functions, 

called `mutate_which_` and `transmute_which_`: 

```R

mutate_which_(df, ~ gear==4, carb = ~ 100)

transmute_which_(df, ~ gear==4, carb = ~ 100)

```

The function `pull` selects a column in a data frame 

and transforms it into a vector. 

This is useful to use it in combination with 

magrittr's pipe operator and dplyr's verbs.

```R

mtcars[["mpg"]]

mtcars %>% pull(mpg)

# more convenient than (mtcars %>% filter(mpg > 20))[[3L]]

mtcars %>%

 filter(mpg > 20) %>%

 pull(3)

```