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https://github.com/paulponcet/lplyr
'dplyr' verbs for lists and other verbs for data frames
https://github.com/paulponcet/lplyr
Last synced: about 2 months ago
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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 (3 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
Awesome Lists containing this project
README
# lplyr: dplyr verbs for lists and other verbs for data frames
[](https://travis-ci.org/paulponcet/lplyr) [](https://cran.r-project.org/package=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)
```