huxtable VS collapse

Compare huxtable vs collapse and see what are their differences.

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huxtable collapse
2 2
311 599
- -
7.8 9.6
2 months ago 5 days ago
R C
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.
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.

huxtable

Posts with mentions or reviews of huxtable. We have used some of these posts to build our list of alternatives and similar projects.
  • What type of table is this, and is there a way to do this in R?
    1 project | /r/RStudio | 6 Dec 2023
    As for styling, I highly recommend the huxtable package. You can style rows, columns, and individual cells however you want. It uses dplyr pipelining, if you’re familiar with that, so it’s super intuitive to use too.
  • Web4 Should Run on LaTeX
    1 project | news.ycombinator.com | 28 Nov 2021
    I wrote a little R package to write tables. I knew what HTML tables and Word tables could do. I wrote the interface to use all those features. LaTeX nerds were super proud of their tables. Should be easy to reimplement the features in TeX, right?

    https://github.com/hughjonesd/huxtable/blob/master/R/latex.R

    TeX is an abomination from hell.

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)

What are some alternatives?

When comparing huxtable and collapse you can also consider the following projects:

groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages

fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

papaja - papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.

writexl - Portable, light-weight data frame to xlsx exporter for R

lmForc - R package for evaluating linear forecasting models.

epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.

docxtractr - :scissors: Extract Tables from Microsoft Word Documents with R

priceR - Economics and Pricing in R

targets - Function-oriented Make-like declarative workflows for R

bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

shiny.i18n - Shiny applications internationalization made easy

tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting