RdplyrSelects
By evergreentype
tidyexplain
🤹♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate (by gadenbuie)
| RdplyrSelects | tidyexplain | |
|---|---|---|
| 1 | 1 | |
| 0 | 742 | |
| - | - | |
| 0.0 | 1.8 | |
| over 2 years ago | over 2 years ago | |
| R | R | |
| - | Creative Commons Zero v1.0 Universal |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RdplyrSelects
Posts with mentions or reviews of RdplyrSelects.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Wrote a function that combines dplyr's SELECT and MUTATE into one
If you are interested, here is the GitHub repository: https://github.com/Ilyumzhinov/RdplyrSelects
tidyexplain
Posts with mentions or reviews of tidyexplain.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing RdplyrSelects and tidyexplain you can also consider the following projects:
dtplyr - Data table backend for dplyr
tidyquant - Bringing financial analysis to the tidyverse
ggsignif - Easily add significance brackets to your ggplots
gpx-viz - Personal project to visualize gpx tracks
ganttrify - Create beautiful Gantt charts with ggplot2