#Rprogramming

Dot Plots in R The "dot plots in R" typically refers to two distinct types of visualizations: (i) Cleveland dot plots (for comparing categories) and (ii) Stacked (Wilkinson) dot plots (for showing distributions). A dot plot is a graphical representation that breaks the range of data into many small equal-width intervals and counts the number of observations in each interval. The interval count is superimposed on the number line at the interval midpoint as a series of dots (stacked if repeated), usually one for each observation.

2 weeks ago

The "dot plots in R" typically refers to two distinct types of visualizations: (i) Cleveland dot plots (for comparing categories) and (ii) Stacked (Wilkinson) dot plots (for showing distributions).
#EDAinR #RGraphics #Rvisualization #RDataAnalysis #RLanguage #RProgramming #RQuiz #ggplot2 #RAnalysis

0 0 0 0

Course Coupon Club | Free Udemy Courses

@coursecouponclub.bsky.social

2 weeks ago

Statistics for Data Analysis Using R Udemy Coupon Code For Statistics for Data Analysis Using R, Find Out Other Highest rated and Bestselling Business Intelligence Courses with Discount Coupon Codes.

📊 Statistics for Data Analysis Using R

If you're looking to build a strong foundation in data analytics or transition into data science, this course is a great starting point.

Limited-time coupon available @ coursecouponclub.com/ibm-spss-mas...

#DataScience #Analytics #RProgramming

0 0 0 0

ScienceHumor.io

@sciencehumor-io.bsky.social

3 weeks ago

From Toys To Statistical Noise

From Toys To Statistical Noise

#Statistics #Rprogramming #Datascience #Childhood #Nostalgia

sciencehumor.io/math-memes/from-toys-to-...

1 0 0 0

Course Coupon Club | Free Udemy Courses

3 weeks ago

2/ Open-source environments add power and flexibility, but also variability. Package updates, dependency changes, and environment differences can introduce uncertainty unless governance and reproducibility are deliberately engineered into the framework. #RProgramming

0 0 1 0

@coursecouponclub.bsky.social

3 weeks ago

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026] Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026] Udemy Coupon by Kirill Eremenko. Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates i...

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026]

What you’ll learn:

✔️ Build Machine Learning algorithms from scratch

✔️ Work with Python and R for data science

..

coursecouponclub.com/machine-lear...

#MachineLearning #AI #DataScience #Python #RProgramming #LearnAI

1 0 0 0

Time Series Analysis in R In this post, we will discuss Time Series Analysis in R Programming Language. At its core, time series analysis involves data points collected at regular intervals over time. Unlike standard regression, the order of observations matters because yesterday's value often influences today's. Setting Environment Creating and Visualizing a Tsibble Classical Decomposition Checking for Stationarity A Simple Forecast (The "Naïve" and "SNAïve" Models)

3 weeks ago

At its core, time series analysis involves data points collected at regular intervals over time. Unlike standard regression, the order of observations matters because yesterday's value often influences today's.
#rprogramming #Rlanguage #rfaqs #Rquiz #Rmcqs #TimeseriesinR #dataanalysisinR #Rquestions

0 0 0 0

Federica Gazzelloni

@fgazzelloni.bsky.social

3 weeks ago

Introduction to Rome R Users Group

🚀 Introducing the Rome R Users Group

A new community for people using #RStats in Rome, from statistics and research to data science and real-world applications.

We’re building a space for learning, and networking.

🎬 Intro video:
youtu.be/e8eX3b29BTo

#DataScience #OpenSource #Rome #RProgramming

11 2 0 0

#DataScience #Rprogramming

4 weeks ago

2/ Hybrid risk models are gaining traction for a reason. Programmatic tools can flag patterns, but human review determines whether critical statistical functions are truly verified. That level of scrutiny becomes vital when moving closer to submission. #RProgramming

0 0 1 0

Zaki Qayoumi (Zack)

@iamzaki.bsky.social

1 month ago

0 0 0 0

Institute for Quantitative Social Science @ Harvard

@iqss.bsky.social

1 month ago

Getting Started with Spatial Analysis in R | The Institute for Quantitative Social Science Breadcrumbs

Looking to build up your #Rprogramming skills? Learn how to use R for #spatialanalysis in this week's workshop from the @cga-harvard.bsky.social. #GIS #geostatistics #programming #Harvard

gis.harvard.edu/event/gettin...

4 2 0 0

Joachim Schork

@joachimschork.bsky.social

1 month ago

Taylor series help approximate complex functions with polynomials, making them useful in machine learning, optimization, and numerical analysis.

Image adapted from Wikipedia: en.wikipedia.org/wiki/Taylor_...

More information: statisticsglobe.com/newsletter

#datascienceeducation #rprogramming

2 0 0 0

pvclust R Package In this post, we will dive deep into what pvclust() R package does, how to use it, and how to interpret its unique graphical output to tell a more compelling story with your data. What is pvclust() Function in R? Uncertainty in Hierarchical Clustering pvclust and Multiscale Bootstrap Resampling Getting Started: Installation of pvclust R package Demonstrating Boston Housing Data…

1 month ago

Hierarchical clustering is a tool for exploring patterns in the data. It builds a tree-like structure (a dendrogram) that groups similar items.
#rprogramming #rlanguage #rquiz #learnrprogramming #multiscalebootstrapresampling #pvclustfunctioninR #BostonHousingData #pvclustPlot #Diagnosticplots

0 0 0 0

What is Vector Recycling in R? When two vectors of different lengths are involved in an operation, then the elements of the shorter vector are reused to complete the operation. This is called element recycling. Understanding Vector Recycling How Recycling Works Vector Recycling Examples Example 1: Vector Recycling for Simple Arithmetic Example 2: Single Element Recycling Vector Recycling for Non-Multiple Lengths Uses of Vector Recycling Conditional vectorization…

2 months ago

In R, vector recycling is an automatic process where shorter vectors are repeated to match the length of longer vectors during operations. This fundamental behavior makes R's vectorized operations both powerful & potentially surprising for newcomers.
#Rlanguage #Rprogramming #LearnR #RQuiz #RMCQs

0 0 0 0

Carlos Lara-Romero Ph.D

@carlos-lara0.bsky.social

2 months ago

Si quieres tomar el control y dejar de ser el "copilot" de la IA este curso te puede ayudar. Gestión de datos y visualización con R. Empezamos desde lo básico y escalamos muy alto... 👨‍💻👩‍💻 organizado por @eco-aeet.bsky.social #R #dplyt #ggplot2 #loops #Rprogramming

2 2 0 1

UCL Centre for Applied Statistics Courses

@ucl-casc.bsky.social

2 months ago

🚀 Join UCL’s Spring School: Statistical Foundations of Data Science with R (Hybrid)!
📅 9–13 March 2026
📍 In‑person or online
💡 Hands‑on stats training + free self‑paced R course
🔗 www.ucl.ac.uk/population-h... #Rstudio #Rprogramming #stats #statistics #LoveUCL #UCL #UCLGrad #datascience

0 0 0 0

2 months ago

1/ Modern clinical trials benefit from flexibility. Sometimes that’s #SAS. Sometimes #Rprogramming. Increasingly, it's #Python. The strongest programmers know how to choose the right tool for the job.

0 0 1 0

corrgram Function in R The corrgram function in R from the corrgram package is a powerful tool for creating correlation matrix visualizations. It combines numerical correlation values with graphical representations to help identify patterns, relationships, and outliers in multivariate data. corrgram Package Installation Syntax of corrgram Function corrgram Examples Customizing Panel and Ordering Best Practices and Interpretation Guidelines Summary of using corrgram Function in R…

2 months ago

The corrgram function in R from the corrgram package is a powerful tool for creating correlation matrix visualizations. It combines numerical correlation values with graphical representations to help identify patterns, relationships, and outliers in multivariate data
#rlanguage #rprogramming #learnR

0 0 0 0

Rprof() in R Rprof() is a built-in profiling function in the R Language that helps you analyze where your R code spends most of its time. It works by sampling the call stack at regular intervals to create a statistical profile of your code's execution. Why do we need Rprof()? Using R Code Profiling Functions Types of Time Measurements Practical Example Memory Profiling Capability…

2 months ago

Rprof() is a built-in profiling function in the R Language that helps you analyze where your R code spends most of its time. It works by sampling the call stack at regular intervals to create a statistical profile.
#rlanguage #learnR #RProgramming #Rquiz #RMCQs #Rdataanalysis #RTutorial #Rprof #R

0 0 0 0

European Bioconductor Conference 2026 – EuroBioC2026 The European Bioconductor Conference (EuroBioC2026) will take place on June 3rd to 5th, 2026, in Turku, Finland EuroBioC2026 will bring together the Bioconductor community to showcase the latest cutti...

2 months ago

3/ That’s the gap #AtorusAcademy was built to close — #RProgramming as it’s actually used in clinical trials: CDISC data, real datasets, and day-to-day programming tasks. It’s the training many wish they had earlier. #DataScience

0 0 1 0

Ali Oghabian

@gacatag.bsky.social

3 months ago

#EuroBioC2026 (i.e. The European #Bioconductor Conference) will take place, in Turku, Finland, on June 3-5, 2026. For more info see eurobioc2026.bioconductor.org. #Bioinformatics #Rprogramming

2 1 0 0

stepAIC in R: Shortcut to the Perfect Model If you are tired of guessing which variables belong in your regression model, stepAIC in R MASS package is about to become your new best friend. This powerful function automates model selection using the Akaike Information Criterion (AIC), essentially providing a data-driven approach to building better predictive models without the headache. How Does stepAIC Actually Work? The Simple Explanation…

3 months ago

stepAIC in R MASS package is about to become your new best friend. This powerful function automates model selection using the Akaike Information Criterion (AIC), essentially providing a data-driven approach to building better predictive models without the headache
#rfaqs #rprogramming #rlanguage

0 0 0 0

Joachim Schork

@joachimschork.bsky.social

3 months ago

Want to show detailed distributions and intervals in a single, easy-to-read plot?

This visualization is from the ggdist package website, demonstrating its powerful features: mjskay.github.io/ggdist/

Further details: statisticsglobe.com/online-cours...

#rprogramming #database #datastructure

3 0 0 0

R Consortium

@rconsortium.bsky.social

3 months ago

image of the Budapest Users of R Network (BURN) meeting with lecturer and attendees

Gergely Daróczi on reviving Budapest Users of R Network (BURN) + using R with Strava data for daily insights—his personal diabetes story.

r-consortium.org/posts/revivi...

#rstats #opensource #strava #rprogramming

10 2 0 0

Use R in Python Master R-Python Integration: Learn How to Use R in Python with rpy2 Package - Install Guide, Practical Examples, Data Frame Tutorials, and Advanced Techniques for Data Scientists. There are several ways to use R from Python. Since the post is about using R in Python, here are the most common and effective methods. First of all, we need to have both R and Python installed.

3 months ago

R in Python Tutorial: How to Use rpy2 Package for Data Science Integration - Complete Guide Covering Installation, Basic to Advanced Examples, Data Frame Conversion, and R Markdown Methods. Get Instant Access to Code Samples!
#userinpython #Rprogramming #Python #learnRlanguage #rmcqs #rquiz #LearnR

0 0 0 0

R Language Essentials Learn R Language Essentials concepts: creating variables, user input methods, handling impossible values (NA/NaN), memory limits, and binary operators. Perfect for R beginners and data science learners. R Language Essentials: Variables, Input, Memory & Operators How to create a new variable in R? Assignment Operator Using the $ operator (for data frames) Using bracket notation [ ] Using the transform() function…

4 months ago

Learn R Language Essentials concepts: creating variables, user input methods, handling impossible values (NA/NaN), memory limits, and binary operators. Perfect for R beginners and data science learners.
#learnrlanguage #rmcqs #rprogramming #rtutorial #rwork #rlecturenotes #rbasics #rdataanalysis

0 0 0 0