List: R programming | Curated by Muhammad Andi Yudha

Mar 6, 2025

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R programming
In
Analytics Vidhya
by
Roberto Salazar
Operations Research with R — Diet ProblemExploring the “lpSolve” R package
Nov 28, 2020
1
Nov 28, 2020
1
Joanna
16 Most Useful RStudio Add-insAdd-ins are plugins that extend RStudio’s functionality, allowing you to perform tasks more efficiently. In this article, I’ll share some…
Feb 18
1
Feb 18
1
Marc Lamberts
P-values in football: assessing thee validity of correlation in scatterplotsScatterplots. Football analysts in the public space absolutely love them and I’m one of them. I have been using them for years to show two…
Jan 27
5
Jan 27
5
Adam
Deep Q-Learning Applied to Algorithmic TradingIn the book “A Random Walk Down Wall Street”, the author Burton G. Malkiel claimed that: “a blindfolded monkey throwing darts at a…
Oct 12, 2024
4
Oct 12, 2024
4
Tolmachev Mikhail
“Not Just ggplot2: Visualization in R”If, after reading this article, you decide to incorporate R into your work, be prepared for a real adventure. R is a fully-fledged…
Jul 7, 2024
1
Jul 7, 2024
1
In
Towards Dev
by
Sarah Houben
R: Quarto CV creation (HTML output)Did I already tell you that I really love Quarto? Probably! Here I come again with my love for this wonderfull framework!
Jul 22, 2024
Jul 22, 2024
Jung Hoon Son, M.D.
Using Quarto to Create Interactive Data Visualizations using Python, R, and ObservableQuarto’s Markdown-based system.
Python’s data processing prowess.
R’s data presentation libraries.
Observable’s dynamic widgets.
The…
Feb 24, 2024
2
Feb 24, 2024
2
In
TDS Archive
by
Jonte Dancker
Confidence Interval vs. Prediction IntervalA small but important difference that you should know
Nov 24, 2024
10
Nov 24, 2024
10
In
TDS Archive
by
Ayman Bari
How to model a social network with RA practical introduction to network theory
Jun 24, 2020
2
Jun 24, 2020
2
Hamardikan
Mengapa Background Pendidikan STEM Cenderung Lebih Konservatif di Indonesia?Sebuah analisis tentang kecenderungan konservatif di kalangan mahasiswa STEM dengan studi kasus Universitas Indonesia.
Nov 20, 2024
Nov 20, 2024
In
TDS Archive
by
Matthew Turk
How to Forecast Time Series Data using any Supervised Learning ModelFeaturizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoML
Feb 22, 2024
14
Feb 22, 2024
14
Stephen Chege
6 Ways to Get Started With R for Spatial Machine Learning AnalysisR is a potent machine learning program whose features flow naturally into the study of geographical data, opening up new avenues for…
Nov 12, 2024
Nov 12, 2024
Robson Tigre
When and how to apply causal inference in time seriesIntuition, step-by-step script, and limitations of the CausalImpact and CausalArima methods
Sep 17, 2024
2
Sep 17, 2024
2
Darshan Khandelwal
Scraping Google Search Results Using RR, a programming language for statistical computing, was developed by two professors from the University of Auckland, Ross Ihaka and Robert…
Jun 27, 2023
Jun 27, 2023
In
TDS Archive
by
Amanda Iglesias Moreno
Top 5 Geospatial Data APIs for Advanced AnalysisExplore Overpass, Geoapify, Distancematrix.ai, Amadeus, and Mapillary for Advanced Mapping and Location Data
Oct 6, 2024
4
Oct 6, 2024
4
Alessio Gasperi
Predicting Income Levels: A Logistic Regression Analysis in RAs many of you might know, Logistic Regression is a statistical method used to model the probability of a binary outcome. 
In this project…
Apr 28, 2024
Apr 28, 2024
In
Appsilon
by
Dario Radečić
Introducing Shiny Assistant — You Can Now Build Shiny Applications with GPT and GenerativeAIWe built an entire R Shiny application with Shiny Assistant — A GPT model specialized in Shiny (R and Python). Is it any good?
Sep 16, 2024
2
Sep 16, 2024
2
In
Appsilon
by
Dario Radečić
R tidymodels: A tidyverse Like Ecosystem for Efficient Machine Learning in RDo you feel machine learning in R leaves a lot to be desired? You’re not alone. Try R tidymodels — it’ll feel right at home if you’ve used…
Aug 15, 2024
Aug 15, 2024
Guilherme A. Franchi, PhD
Raincloud plots for clear, precise and efficient data communicationLearn the steps to plot a raincloud plot in R and improve your data communication
Nov 16, 2023
2
Nov 16, 2023
2
btd
survival: Step-by-Step of Guide to Perform Survival Analysis in RSurvival analysis is a statistical approach used to analyze the time until an event of interest occurs. The event could be anything that…
Nov 24, 2023
Nov 24, 2023

R programming

Operations Research with R — Diet Problem

Exploring the “lpSolve” R package

16 Most Useful RStudio Add-ins

Add-ins are plugins that extend RStudio’s functionality, allowing you to perform tasks more efficiently. In this article, I’ll share some…

P-values in football: assessing thee validity of correlation in scatterplots

Scatterplots. Football analysts in the public space absolutely love them and I’m one of them. I have been using them for years to show two…

Deep Q-Learning Applied to Algorithmic Trading

In the book “A Random Walk Down Wall Street”, the author Burton G. Malkiel claimed that: “a blindfolded monkey throwing darts at a…

“Not Just ggplot2: Visualization in R”

If, after reading this article, you decide to incorporate R into your work, be prepared for a real adventure. R is a fully-fledged…

R: Quarto CV creation (HTML output)

Did I already tell you that I really love Quarto? Probably! Here I come again with my love for this wonderfull framework!

Using Quarto to Create Interactive Data Visualizations using Python, R, and Observable

Quarto’s Markdown-based system. Python’s data processing prowess. R’s data presentation libraries. Observable’s dynamic widgets. The…

Confidence Interval vs. Prediction Interval

A small but important difference that you should know

How to model a social network with R

A practical introduction to network theory

Mengapa Background Pendidikan STEM Cenderung Lebih Konservatif di Indonesia?

Sebuah analisis tentang kecenderungan konservatif di kalangan mahasiswa STEM dengan studi kasus Universitas Indonesia.

How to Forecast Time Series Data using any Supervised Learning Model

Featurizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoML

6 Ways to Get Started With R for Spatial Machine Learning Analysis

R is a potent machine learning program whose features flow naturally into the study of geographical data, opening up new avenues for…

When and how to apply causal inference in time series

Intuition, step-by-step script, and limitations of the CausalImpact and CausalArima methods

Scraping Google Search Results Using R

R, a programming language for statistical computing, was developed by two professors from the University of Auckland, Ross Ihaka and Robert…

Top 5 Geospatial Data APIs for Advanced Analysis

Explore Overpass, Geoapify, Distancematrix.ai, Amadeus, and Mapillary for Advanced Mapping and Location Data

Predicting Income Levels: A Logistic Regression Analysis in R

As many of you might know, Logistic Regression is a statistical method used to model the probability of a binary outcome. In this project…

Introducing Shiny Assistant — You Can Now Build Shiny Applications with GPT and GenerativeAI

We built an entire R Shiny application with Shiny Assistant — A GPT model specialized in Shiny (R and Python). Is it any good?

R tidymodels: A tidyverse Like Ecosystem for Efficient Machine Learning in R

Do you feel machine learning in R leaves a lot to be desired? You’re not alone. Try R tidymodels — it’ll feel right at home if you’ve used…

Raincloud plots for clear, precise and efficient data communication

Learn the steps to plot a raincloud plot in R and improve your data communication

survival: Step-by-Step of Guide to Perform Survival Analysis in R

Survival analysis is a statistical approach used to analyze the time until an event of interest occurs. The event could be anything that…

Muhammad Andi Yudha