design
Tidyverse design principles (by tidyverse)
awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
Our great sponsors
| design | awesome-R | |
|---|---|---|
| 2 | 6 | |
| 210 | 5,781 | |
| 1.4% | - | |
| 8.4 | 4.0 | |
| 2 months ago | about 2 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | - |
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.
design
Posts with mentions or reviews of design.
We have used some of these posts to build our list of alternatives
and similar projects.
-
What's the difference between "df[!x,]" and "df[-x,]"?
One way round it is the tidyverse, which has some well reasoned design principles. if you select rows/cols as a tidy filter or select operation then most of the potential bugs throw an error, for example, compare:
-
Radian: A 21 century R console
I think the behavior is so inconsistent that it's not really justifiable: https://github.com/tidyverse/design/issues/13#issuecomment-4...
awesome-R
Posts with mentions or reviews of awesome-R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
- Good coding groups for black women?
- Where to learn R?
-
Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
-
Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
-
WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
What are some alternatives?
When comparing design and awesome-R you can also consider the following projects:
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning
easystats - :milky_way: The R easystats-project
ggplot2 - An implementation of the Grammar of Graphics in R
sf - Simple Features for R
dplyr - dplyr: A grammar of data manipulation
lab02_R_intro - Vežbe 2: Uvod u R
rmarkdown - Dynamic Documents for R
viridis - Colorblind-Friendly Color Maps for R
wesanderson - A Wes Anderson color palette for R
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R