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2 | 1 | |
599 | 21 | |
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9.6 | 2.6 | |
7 days ago | over 3 years ago | |
C | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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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)
RFI
What are some alternatives?
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
mpich - Official MPICH Repository
writexl - Portable, light-weight data frame to xlsx exporter for R
flang - Flang is a Fortran language front-end designed for integration with LLVM.
epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.
gcc_termux - Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
priceR - Economics and Pricing in R
inline - Inline C, C++ or Fortran functions in R
bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
pak - A fresh approach to package installation
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
ompi - Open MPI main development repository