janitor
simple tools for data cleaning in R (by sfirke)
Practical-Applications-in-R-for-Psychologists
Lesson files for Practical Applications in R for Psychologists. (by mattansb)
| janitor | Practical-Applications-in-R-for-Psychologists | |
|---|---|---|
| 2 | 1 | |
| 1,409 | 127 | |
| 0.6% | 0.0% | |
| 5.5 | 5.5 | |
| 4 months ago | over 1 year ago | |
| R | R | |
| GNU General Public License v3.0 or later | 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.
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.
janitor
Posts with mentions or reviews of janitor.
We have used some of these posts to build our list of alternatives
and similar projects.
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Working with columns names that are numbers (in this case, years)
I would just clean the names and work with those. Then there is no need to use backticks. Read about the function clean_names in the janitor vignette: https://github.com/sfirke/janitor
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R Libraries Every Data Scientist Should Know - Pyoflife
I just stumbled across Janitor which can help you clean colum names easily.
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.
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Book/resources recommendations for doctoral-level stats/data-analysis in Psychology
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 janitor and Practical-Applications-in-R-for-Psychologists you can also consider the following projects:
tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
desctable - An R package to produce descriptive and comparative tables
parquetize - R package that allows to convert databases of different formats to parquet format
report - :scroll: :tada: Automated reporting of objects in R
IntRo - Introduction to R for health data
TidyTuesday - My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.