R-bloggers

Disclaimer:While my work in this series draws inspiration from the IBCS® standards, I am not a certified IBCS® analyst or consultant. The visualizations and interpretations presented here are my personal attempts to apply these principles and may not f...

Introduction Data visualization is a crucial aspect of data analysis, allowing us to understand and communicate complex data insights effectively. Among various visualization techniques, boxplots stand out for their ability to summarize data di...

I have just finished updating my reviews of graphical user interfaces for the R language. These include BlueSky Statistics, jamovi, JASP, R AnalyticFlow, R Commander, R-Instat, Rattle, and RKward. The permanent link to the article that summarizes it all is https://r4stats.com/articles/software-reviews/r-gui-comparison/. I list the ...

Introduction to Variables in C In the world of C programming, variables play a crucial role. They are human-readable names that refer to specific memory locations where data is stored. Understanding how to declare and use variables effectively ...

Techtonique web app for data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization

One of the joys of posting a preprint is seeing that people are viewing, downloading and (hopefully) reading your paper. On bioRxiv you can check out the statistics for your paper in the metrics tab. We posted a preprint recently and it clocked up over 1,000 views in the first day ...

Since April, Nvidia has tried to hold above the point forecasting line. As predictive intervals’ slopes are slightly up; could Nvidia continue an uptrend? Source code:

Introduction Outliers can significantly skew your data analysis results, leading to inaccurate conclusions. For R programmers, effectively identifying and removing outliers is crucial for maintaining data integrity. This guide will walk you thr...

BARUG is back!!! Hope to see you there! https://www.meetup.com/r-users/events/303488652/?eventOrigin=group_upcoming_events

The R Consortium recently interviewed Kristina Riemer, director of the CCT Data Science Team at the University of Arizona, and Eric Scott, Scientific Programmer and Educator in the CCT Data... The post Unlocking Chemical Volatility: How the volcalc R Package is Streamlining Scientific Research appeared first on R Consortium.

Puzzles no. 544–548PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #544Wake up Cinderellas, we have some cleaning to do. To be exact we need to pick up numbers fr...

Introduction Welcome to the world of R programming, where data manipulation is a crucial skill. One common task you may encounter is the need to switch two columns in a data frame. Understanding how to efficiently rearrange data can significant...

The recently-proposed extended-support beta regression model in R package betareg is illustrated by simultaneously modeling the occurrence and extent of loss aversion in a behavioral economics experiment. Motivation To illustra...