lab01_R_intro VS DataScienceR

Compare lab01_R_intro vs DataScienceR and see what are their differences.

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning (by ujjwalkarn)
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lab01_R_intro DataScienceR
1 1
0 1,959
- -
4.2 0.0
2 months ago about 1 year ago
R R
- 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.

lab01_R_intro

Posts with mentions or reviews of lab01_R_intro. We have used some of these posts to build our list of alternatives and similar projects.
  • R / Rstudio
    1 project | /r/programiranje | 20 Feb 2021
    Sto se ggplot-a tice, dokumentacija je najbolji resurs, a moj savet ti je da pogledas ovaj git, inace sa jednog predmeta na FON-u: https://github.com/inteligentni/lab01_R_intro https://github.com/inteligentni/lab02_R_intro

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.

What are some alternatives?

When comparing lab01_R_intro and DataScienceR you can also consider the following projects:

lab02_R_intro - Vežbe 2: Uvod u R

aor - 🎄📦 Advent of R: Utility Functions for the Advent of Code in R

badger - Badge for R Package

design - Tidyverse design principles

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)

rlang - Low-level API for programming with R

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

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.

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

c3plot - R Package for Interactive Plotting via C3.js with a Base Graphics-like Interface

mirt - Multidimensional item response theory