collapse VS targets-minimal

Compare collapse vs targets-minimal and see what are their differences.

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collapse targets-minimal
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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collapse

Posts with mentions or reviews of collapse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-01.
  • is there a package using data.table that provides functions for descriptive stats, missingness etc?
    1 project | /r/rstats | 12 Oct 2022
    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.
  • Benchmarking for loops vs apply and others
    2 projects | /r/rstats | 1 May 2022
    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

Posts with mentions or reviews of targets-minimal. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing collapse and targets-minimal you can also consider the following projects:

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