TidyTuesday VS Practical-Applications-in-R-for-Psychologists

Compare TidyTuesday vs Practical-Applications-in-R-for-Psychologists and see what are their differences.

TidyTuesday

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
#Rstats #tidytuesday #tidytuesday-challenge #r4ds #Ggplot2 #Tidyverse #Dataviz
Source Code

Practical-Applications-in-R-for-Psychologists

Lesson files for Practical Applications in R for Psychologists. (by mattansb)
#Rstats #Statistics #Regression #Data Analysis #Tidyverse #easystats #psychologists
Source Code
Our great sponsors
  • InfluxDB - Collect and Analyze Billions of Data Points in Real Time
  • Revelo Payroll - Free Global Payroll designed for tech teams
  • Onboard AI - Learn any GitHub repo in 59 seconds
  • SonarQube - Static code analysis for 29 languages.
Our great sponsors
TidyTuesday Practical-Applications-in-R-for-Psychologists
2 1
687 122
- -
0.0 4.1
7 days ago 8 days 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.

TidyTuesday

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

We haven't tracked posts mentioning TidyTuesday yet.
Tracking mentions began in Dec 2020.

Practical-Applications-in-R-for-Psychologists

Posts with mentions or reviews of Practical-Applications-in-R-for-Psychologists. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.
  • Book/resources recommendations for doctoral-level stats/data-analysis in Psychology
    2 projects | /r/rstats | 30 Mar 2023
    https://quantpsych.net/web-applications/ https://jkkweb.sitehost.iu.edu/KruschkeFreqAndBayesAppTutorial.html https://rpsychologist.com/viz https://www.sas.upenn.edu/~baron/from_cattell/rpsych/rpsych.html https://ladal.edu.au/tutorials.html https://bookdown.org/paul/computational_social_science/ https://github.com/mattansb/Practical-Applications-in-R-for-Psychologists https://github.com/seanchrismurphy/A-Psychologists-Guide-to-R https://cu-psych-computing.github.io/cu-psych-comp-tutorial/tutorials/r-extra/accelerated-ggplot2/ggplot_summer2018_part2/#1-overview https://www.andrewheiss.com/blog/2022/05/20/marginalia/ https://www.statisticshowto.com/ https://benwhalley.github.io/just-enough-r/ https://vasishth.github.io/Freq_CogSci/ https://uoepsy.github.io/ https://pittmethods.github.io/r4ss/ https://www.sas.upenn.edu/~baron/from_cattell/rpsych/rpsych.html

What are some alternatives?

When comparing TidyTuesday and Practical-Applications-in-R-for-Psychologists you can also consider the following projects:

ggsignif - Easily add significance brackets to your ggplots

TidyTuesday vs ggsignif