DataScienceR vs aor

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning (by ujjwalkarn)

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aor

🎄📦 Advent of R: Utility Functions for the Advent of Code in R (by clente)

advent-of-code R

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DataScienceR		aor
	Project
1	Mentions	1
1,959	Stars	5
-	Growth	-
0.0	Activity	10.0
about 1 year ago	Latest Commit	over 1 year ago
R	Language	R
MIT License	License	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.

DataScienceR

Posts with mentions or reviews of DataScienceR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

Python vs Matlab vs R
4 projects | /r/GradSchool | 12 Feb 2022

aor

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

{aor}: a package to help you solve the Advent of Code!
1 project | /r/rstats | 1 Dec 2022

What are some alternatives?

When comparing DataScienceR and aor you can also consider the following projects:

badger - Badge for R Package

ggplot2 - An implementation of the Grammar of Graphics in R

design - Tidyverse design principles

awesome-R - A curated list of awesome R packages, frameworks and software.

lab02_R_intro - Vežbe 2: Uvod u R

dplyr - dplyr: A grammar of data manipulation

awesome-computational-social-science - A list of awesome resources for Computational Social Science

adventofcode2021 - 🎄 Advent of Code 2021 in R 🎄

R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

r4ds - R for data science: a book

rlang - Low-level API for programming with R

seminr - Natural feeling domain-specific language for building structural equation models in R for estimation by covariance-based methods (like LISREL/Lavaan) or partial least squares (like SmartPLS)