lab02_R_intro
Vežbe 2: Uvod u R (by inteligentni)
awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
Our great sponsors
lab02_R_intro | awesome-R | |
---|---|---|
- | 6 | |
0 | 5,783 | |
- | - | |
5.6 | 4.0 | |
about 2 months ago | 2 months ago | |
R | R | |
- | - |
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.
lab02_R_intro
Posts with mentions or reviews of lab02_R_intro.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning lab02_R_intro yet.
Tracking mentions began in Dec 2020.
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 lab02_R_intro and awesome-R you can also consider the following projects:
r4ds - R for data science: a book
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps