datapasta
awesome-R
Our great sponsors
| datapasta | awesome-R | |
|---|---|---|
| 3 | 6 | |
| 881 | 5,781 | |
| - | - | |
| 0.0 | 4.0 | |
| almost 2 years ago | about 2 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | - |
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.
datapasta
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How many ways to munge data into R? Which is the quickest, or most effective, what is reproducable?
I think you are looking for datapasta package. https://github.com/MilesMcBain/datapasta
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List of Free Agents
If you’re planning on importing the data into R, you can skip Excel altogether. Paste it as a tribble with the datapasta package/add-on.
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Monthly to quarterly
Next time, please post a small, sample dataset. If you use datapasta, you can copy and paste a tribble verison of your data into your RStudio session.
awesome-R
- Good coding groups for black women?
- Where to learn R?
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Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
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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.
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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?
dplyr - dplyr: A grammar of data manipulation
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
esquisse - RStudio add-in to make plots interactively with ggplot2
easystats - :milky_way: The R easystats-project
janitor - simple tools for data cleaning in R
sf - Simple Features for R
excel.link - Convenient Data Exchange between R and Microsoft Excel
lab02_R_intro - Vežbe 2: Uvod u R
xlsx - An R package to interact with Excel files using the Apache POI java library
viridis - Colorblind-Friendly Color Maps for R
unpivotr - Unpivot complex and irregular data layouts in R
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R