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awesome-R
Our great sponsors
collapse | awesome-R | |
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2 | 6 | |
599 | 5,781 | |
- | - | |
9.6 | 4.0 | |
4 days ago | about 2 months ago | |
C | 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.
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is there a package using data.table that provides functions for descriptive stats, missingness etc?
The ask is a little unclear. You might be interested in collapse and more generally in other packages in the fastverse. I guess it's also worth pointing out that data.table already provides alternative methods for certain base R descriptive stats functions (e.g., mean, etc.) that are automatically used when applied to datatables.
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Benchmarking for loops vs apply and others
If you are looking for performance I would recommend to check the collapse package. The following line "collapse" = collapse::fsum(df_datatable$x, g=df_datatable$g) is around 2x faster than base::rowsum, and the dplyr style syntax doesn't add that much of an overhead "collapse dplyr" = df_datatable |> fgroup_by(g) |> fsum(x)
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?
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
writexl - Portable, light-weight data frame to xlsx exporter for R
easystats - :milky_way: The R easystats-project
priceR - Economics and Pricing in R
sf - Simple Features for R
bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
lab02_R_intro - Vežbe 2: Uvod u R
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
viridis - Colorblind-Friendly Color Maps for R
r-yaml - R package for converting objects to and from YAML
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R