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bruceR
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| collapse | bruceR | |
|---|---|---|
| 2 | 1 | |
| 599 | 152 | |
| - | - | |
| 9.6 | 4.9 | |
| 8 days ago | 7 months ago | |
| C | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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collapse
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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)
bruceR
What are some alternatives?
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
expotools - Useful methods for Exposome research.
writexl - Portable, light-weight data frame to xlsx exporter for R
targets-minimal - A minimal example data analysis project with the targets R package
epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.
priceR - Economics and Pricing in R
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
lmForc - R package for evaluating linear forecasting models.
r-yaml - R package for converting objects to and from YAML
groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages