rlang
Low-level API for programming with R (by r-lib)
awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
rlang | awesome-R | |
---|---|---|
2 | 6 | |
482 | 5,805 | |
1.2% | - | |
7.1 | 4.0 | |
1 day ago | 3 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.
rlang
Posts with mentions or reviews of rlang.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Any responses to this article titled "Why R is the new Perl"? I personally had some responses to a few of the points and the overall message, but I was curious as to how others thought.
Granted, but these weird filenames are admittedly a very common solution, including in fairly high-profile packages from R experts (here’s ‘rlang’).
-
Base R functionality vs purrr from tidyverse
Frankly, I haven't ever needed purrr. If I want to use purrr's interface, I just grab the "compat-purrr" from rlang. There are some functions that require rlang internals, but unless you care about tidyverse closure syntax (e.g. ~ .x^2) you can rewrite everything in base R.
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 rlang and awesome-R you can also consider the following projects:
DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
ggplot2 - An implementation of the Grammar of Graphics in R
easystats - :milky_way: The R easystats-project
rmarkdown - Dynamic Documents for R
sf - Simple Features for R
dplyr - dplyr: A grammar of data manipulation
lab02_R_intro - Vežbe 2: Uvod u R
r4ds - R for data science: a book
viridis - Colorblind-Friendly Color Maps for R
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R