rprogramming
There are 635 repositories under rprogramming topic.
GL-Li/totalcensus
Extract census data from summary files with R
prashanthbasani/Awesome-DataScience-Cheatsheets
Collection of cheatsheets for data science, machine learning and deep learning :).
kiat/R-Examples
R Code Examples for Data Analytics
Rpita623/Movie-Recommendation-System-using-R_Project
Movie Recommendation System: Project using R and Machine learning
javedali99/r-resources-for-data-science
A biggest collection of free books and other resources for R programming
Sid-TheAnalyst/Data-Analysis-And-Visualization-Projects
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
loukesio/ltc-color-palettes
"ltc_palettes: Tailored for data visualization enthusiasts, ltc_palettes is an R package that offers a curated collection of color palettes. Crafted to enhance clarity and impact, these palettes ensure that your visual representations not only communicate data effectively but also aesthetically
tomaztk/DAX_Functions
DAX Functions with Power BI
USEPA/RAQSAPI
A R extension to retrieve EPA Air Quality System Data via the AQS Data Mart API
IndrajeetPatil/R-Function-A-Day-book
Collection of tweets from "R Function A Day" account
IndrajeetPatil/advanced-r-exercises
Solutions to "Advanced R" (2nd ed.) exercises (unofficial) 📖✍️
ValentineFernandes/R
R programs
singhamanraj/Gender-Voice-Recognition_Machine-Learning
Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)
RegaipKURT/R-Programming-for-Data-Science
R Programlama Dili ile Veri Bilimi
altunenes/EksiKelime
Sentiment analysis for Ekşi Sözlük with R and Python.
mbodke/Twitter-Sentiment-Analysis-using-R-shiny
Project based on text mining:
AntoineGuillot2/Shiny_SemiCollapsibleSidebar
Code for the tutorial on the Semi Collapsible Sidebar in Shiny
jasp-stats/jaspTools
R package delivered with jasp-desktop that simplifies developing and testing analyses
IndrajeetPatil/dotInternals
Prepend Internal Package Function Names With a Dot
natanast/30DayChartChallenge
This repository contains my contributions to the #30DayChartChallenge
USCbiostats/slurmr-workshop
Workshop on HPC with Slurm, R, and the slurmR package
anushkaparadkar/R-Projects
List of mini projects done in R programming language to learn and master it
dark-peak-analytics/sicksickerPack
R package version of the Sick Sicker model originally developed by the DARTH group
dupadhyaya/Rwksp
Workshop on R Programming
Ifeanyi55/Gapminder-Dash
A dashboard that lets you query the Gapminder dataset using natural language. Powered by Gemini 2.0 Flash.
natanast/TidyTuesday
This repository includes my participation in the TidyTuesday challenge.
WilliamStaudenmeier/Portfolio_Optimization_App
Portfolio Optimization App
audhiaprilliant/Indonesia-Public-Election-Twitter-Sentiment-Analysis
Identify topics to be discussed against presidential candidates Joko Widodo and Prabowo Subianto after the 2019 General Election on the Twitter platform
Correia-jpv/fucking-awesome-R
A curated list of awesome R packages, frameworks and software. With repository stars⭐ and forks🍴
hsamuelson/agileR
R standalone. A light weight, standalone version of R Programming Language
pritampanda15/Bioinformatics-Scripts-R-Python
Bioinformatics Scripts in R and Python
WilliamStaudenmeier/Random_Walks_FX
Random Walk Theory Applied to Live FX
audhiaprilliant/Automation-and-Web-Scraping-Using-Python-and-R
Nowadays, the growth of data is increasing exponentially. The data can be obtained from several sources, such as internet. As the data analyst, our tasks are how to get the data, prepare, analyze, and interpret it. So, it's the tutorial how to obtain unstructured data from internet. Enjoy!!
imsanjoykb/R-Programming-Practice
R Programming Practice For Data Science
mohsenebrahimyir/base-r
این کتابچه برای دوره مبانی زبان برنامه نویسی آر تهیه شده است.
chathumiamarasinghe/ANOVA-Test
A statistical analysis script in R to perform a One-Way ANOVA Test, which evaluates whether there are statistically significant differences between the means of three or more groups. Ideal for analyzing experimental data and comparing group means in research studies.