report VS awesome-R

Compare report vs awesome-R and see what are their differences.

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report awesome-R
4 6
663 5,792
1.2% -
7.4 4.0
3 days ago 2 months ago
R R
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.

report

Posts with mentions or reviews of report. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-08.

awesome-R

Posts with mentions or reviews of awesome-R. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

When comparing report and awesome-R you can also consider the following projects:

sf - Simple Features for R

fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps

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.

easystats - :milky_way: The R easystats-project

ggthemr - Themes for ggplot2.

bibliometrix - An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

lab02_R_intro - Vežbe 2: Uvod u R

Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.

viridis - Colorblind-Friendly Color Maps for R

feltr - A R package to read Felt maps to simple feature data 🗺️

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