tableone vs meta

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tableone		meta
	Project
3	Mentions	1
203	Stars	74
-	Growth	-
0.0	Activity	7.9
12 months ago	Latest Commit	14 days ago
R	Language	R
-	License	GNU General Public License v3.0 only

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.

tableone

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

Are there any good packages to help me easily make a table 1?
1 project | /r/rstats | 3 May 2023

Try tableone or table1
Question about table one multiple pairwise comparisons // How do i suggest that?
1 project | /r/rstats | 25 Aug 2021

ANd, if there is no way to do this, and since im terribly new with github, where should i ask for this new feature on the actual repository (https://github.com/kaz-yos/tableone) :D?
Cases and controls
1 project | /r/RStudio | 10 May 2021

Check out the tableone package

What are some alternatives?

When comparing tableone and meta you can also consider the following projects:

RobinHood - An R interface for the RobinHood.com no commision investing site

taskscheduleR - Schedule R scripts/processes with the Windows task scheduler.

hts - Hierarchical and Grouped Time Series

hermiter - Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)

littler - A scripting and command-line front-end for GNU R

chapi - CHAPI (Common Hierarchical Abstract Parser and Information Converter) streamlines code analysis by converting diverse language source code into a unified abstract model, simplifying cross-language development. Chapi 是一个通用层次抽象解析器与信息转换器，它可以将不同编程语言的源代码转换为统一的层次抽象模型。

collapse - Advanced and Fast Data Transformation in R

easy-entrez - Retrieve PubMed articles, text-mining annotations, or molecular data from >35 Entrez databases via easy to use Python package - built on top of Entrez E-utilities API.