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targets-minimal
collapse | targets-minimal | |
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2 | 1 | |
600 | 56 | |
- | - | |
9.6 | 0.0 | |
8 days ago | about 2 years ago | |
C | R | |
GNU General Public License v3.0 or later | 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.
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)
targets-minimal
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Should you always rerun your entire script when reopening an R project?
Will has a GitHub repo in his own profile that is pretty minimal: https://github.com/wlandau/targets-minimal
What are some alternatives?
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
workflowr - Organize your project into a research website
writexl - Portable, light-weight data frame to xlsx exporter for R
bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.
targets-tutorial - Short course on the targets R package
priceR - Economics and Pricing in R
deps - Dependency Management with roxygen-style Comments
targets - Function-oriented Make-like declarative workflows for R
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
r-yaml - R package for converting objects to and from YAML