trackdown
qcoder
| trackdown | qcoder | |
|---|---|---|
| 2 | 2 | |
| 210 | 125 | |
| - | 1.6% | |
| 4.8 | 0.0 | |
| 11 months ago | 7 months ago | |
| HTML | HTML | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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.
trackdown
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Any place to do collaboratie writing in the new quarto format? if not, what's the best place/way to do it in rmarkdown you think?
Perhaps the trackdown package: https://github.com/claudiozandonella/trackdown
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RMarkdown and collaborating with Word
https://github.com/ClaudioZandonella/trackdown https://www.gerkelab.com/blog/2021/04/netlifycms-rmd-ghpages/ https://jksserver.shinyapps.io/shiny_markdown_organiser/ https://danovando.github.io/publications-with-rmarkdown/presentations/pubs-with-rmarkdown#46 https://info201.github.io/git-collaboration.html https://www.youtube.com/watch?v=hXhLGzn6S60
qcoder
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[R] Qualitative analysis software
Because we're on a statistics subreddit, I have to mention there are a handful of packages for doing qualitative work in R - RQDA, Q-Coder, some others - but I would not recommend it if you're not already familiar with R, or at least some programming language. There are graphical interfaces that will serve you well.
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[Q] Does anyone use R to code qualitative data?
qcoder is also out there. It's still under active maintenance, but it's not on CRAN. It has a handy user interface, but you can obviously insert the qual tags yourself.
What are some alternatives?
surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny
QualCoder - Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.10 or newer and PyQt6.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
targets - Function-oriented Make-like declarative workflows for R
worldcup - A Comprehensive Database on the FIFA World Cup (Men's and Women's)
drat - Drat R Archive Template
FielDHub - FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
targets-tutorial - Short course on the targets R package
webR-quarto-demos - Experiments with generating a standalone Quarto Document using Web R