intro_stats
Introduction to Statistics: an integrated textbook and workbook using R (by VectorPosse)
rticles
LaTeX Journal Article Templates for R Markdown (by rstudio)
| intro_stats | rticles | |
|---|---|---|
| 3 | 2 | |
| 15 | 1,444 | |
| - | 0.6% | |
| 4.9 | 8.1 | |
| 9 months ago | 25 days ago | |
| TeX | TeX | |
| MIT License | - |
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.
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.
intro_stats
Posts with mentions or reviews of intro_stats.
We have used some of these posts to build our list of alternatives
and similar projects.
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How to learn R programming?
https://github.com/VectorPosse/intro_stats work through these assignments, there’s also a free textbook linked. It’ll give basic stats and an intro to R
- Teaching myself stats and I'm not okay
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Statistics courses for dummies?
My undergrad data science professor posts all his assignments on GitHub. Its a textbook free class so the assignments have everything you need in them. You'll probably need to do some R tutorials to get a hang of the document format but it's completely worth it. He has each assignment organized by topic so you can jump around if you want to.
rticles
Posts with mentions or reviews of rticles.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-14.
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Limitations in using Obsidian/markdown for academic writing
Previously Word + Mendeley. Now RMarkdown, because most of the analysis is in R. If it's join paper, it will be in Word though. The good thing about RMarkdown, is that there is a package rticles, https://github.com/rstudio/rticles. This takes care of the formatting. And you can take care of Citation and References inside RMarkdown itself.
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[D] Research paper figure drawing
The package ggplot2 in R platform is a good choice. You can make any type of figure, here are some examples, https://www.r-graph-gallery.com/heatmap.html . Combined with rmarkdown (https://rmarkdown.rstudio.com/), you can combine together all of the steps together -- data input, data cleaning, data analysis, the final report of various formats, PDF, HTML, Word, PowerPoint, or journal articles. See here https://github.com/rstudio/rticles
What are some alternatives?
When comparing intro_stats and rticles you can also consider the following projects:
lme4cens - Simple Mixed Effect Models and Censoring
obsidian-zotero-integration - Insert and import citations, bibliographies, notes, and PDF annotations from Zotero into Obsidian.
vtreat - vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.
pandoc_alfred - Pandoc-Suite for Academic Writing in Markdown
ipe_utils - My homemade ipe utils including colors, preambles, and ipelets, and guides including functional plotting, pages, and slidehows in ipe