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Exploding, Impacting: looking at bioRxiv preprint view dynamics with R

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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 ... Continue reading: Exploding, Impacting: looking at bioRxiv preprint view dynamics with R http://dlvr.it/TDdnpq

How to Remove Outliers from Multiple Columns in R: A Comprehensive Guide

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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... Continue reading: How to Remove Outliers from Multiple Columns in R: A Comprehensive Guide http://dlvr.it/TDdngF

Cover and modify, some tips for R package development

I’ve recently been dealing with legacy code refactoring both in theory and in practice: while I’m continuing some work on the igraph R package, I’ve started reading Working Effectively with Legacy Code by Michael Feathers, that had be... Continue reading: Cover and modify, some tips for R package development http://dlvr.it/TDdnVf

New R Package: Data Science Looks at Discrimination (dsld)

I’m very pleased to announce a new package, dsld, available on CRAN. This is the work of eight talented undergrad students. I provided the concept and some general guidance, but this is their work. The package is aimed at dealing with discrimination — race, gender, age — in the workplace, education, ... Continue reading: New R Package: Data Science Looks at Discrimination (dsld) http://dlvr.it/TDd6tY

Unlocking Chemical Volatility: How the volcalc R Package is Streamlining Scientific Research

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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. Continue reading: Unlocking Chemical Volatility: How the volcalc R Package is Streamlining Scientific Research http://dlvr.it/TDbx3f

R Solution for Excel Puzzles

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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... Continue reading: R Solution for Excel Puzzles http://dlvr.it/TDbX1Y

Dual licensing R packages with code and data

Licenses are an important topic within open source. Without licenses, information or code can be publicly available but not legally available for reuse or redistribution. The open source software community’s most common licenses are the MIT lice... Continue reading: Dual licensing R packages with code and data http://dlvr.it/TDbWqD

How to Switch Two Columns in R: A Beginner’s Guide

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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... Continue reading: How to Switch Two Columns in R: A Beginner’s Guide http://dlvr.it/TDbDcx

Modeling loss aversion with extended-support beta regression

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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... Continue reading: Modeling loss aversion with extended-support beta regression http://dlvr.it/TDZtHM

Introducing gt_summarytools: Analyze Your Data Faster With R

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Hey guys, welcome back to my R-tips newsletter. In today’s fast-paced data science environment, speeding up exploratory data analysis (EDA) is more critical than ever. This is where gt_summarytools() comes in. A new function I’ve developed, gt_summaryt... Continue reading: Introducing gt_summarytools: Analyze Your Data Faster With R http://dlvr.it/TDYNVm

Introducing OptimalTransportNetworks.jl: Optimal Transport Networks in Spatial Equilibrium

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I’m happy to announce the release of OptimalTransportNetworks.jl, a modern Julia translation of the MATLAB OptimalTransportNetworkToolbox implementing the quantitative spatial model and algorithms described in Fajgelbaum, P. D., & Schaal, E. (2... Continue reading: Introducing OptimalTransportNetworks.jl: Optimal Transport Networks in Spatial Equilibrium http://dlvr.it/TDYBGs

A Bayesian Plackett-Luce model in Stan applied to pinball championship data

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Sometimes it feels a bit silly when a simple statistical model has a fancy-sounding name. But it also feels good to drop the following in casual conversation: “Ah, then I recommend a Plackett-Luce model, a straightforward generalization of the Bradley–Terry model, you know”, when a friend wonders how they ... Continue reading: A Bayesian Plackett-Luce model in Stan applied to pinball championship data http://dlvr.it/TDXxy9

5 Books added to Big Book of R

It’s been about 3 months since the last update and I’m looking forward to getting back to more regular additions to the collection which now stands at over 400 free, open-source R books! I have a small backlog to get through, but as always if you wish to submit a … ... Continue reading: 5 Books added to Big Book of R http://dlvr.it/TDWRD3

Prime numbers as sums of three squares. by @ellis2013nz

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I was interested by a LinkedIn post about the number 397: “397 is conjectured to be the largest prime that can be represented uniquely as the sum of three positive squares” That is, 3^2 + 8^2 + 18^2 = 397 This led to some confusion in the commen... Continue reading: Prime numbers as sums of three squares. by @ellis2013nz http://dlvr.it/TDWR55

How to Import Data into R | Load Data file in R Programming

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Key points R provides multiple methods to import data files in R, making it a versatile tool for data analysis. Efficient CSV Import Methods: Different functions like read.csv, read_csv, and fread cater to different dataset sizes and performance n... Continue reading: How to Import Data into R | Load Data file in R Programming http://dlvr.it/TDVCXT

Mastering Linux Commands: ls, file, and less for Beginners

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Introduction Thank you for joining me today as we explore the fundamental Linux commands ls, file, and less. These commands are essential for navigating and managing files in a Linux environment. If you are new to Linux like me or looking to de... Continue reading: Mastering Linux Commands: ls, file, and less for Beginners http://dlvr.it/TDTdPX

Mastering Data Transformation in R with pivot_longer and pivot_wider

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Artwork by: Shannon Pileggi and Allison Horst Introduction Data analysis requires a deep understanding of how to structure data effectively. Often, datasets are not in the format most suitable for analysis or visualization. That’s wher... Continue reading: Mastering Data Transformation in R with pivot_longer and pivot_wider http://dlvr.it/TDTd9D

Keep It Simple: Extracting Value from the Noise of Data Overload

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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... Continue reading: Keep It Simple: Extracting Value from the Noise of Data Overload http://dlvr.it/TDRjBL

How to Use cat() in R to Print Multiple Variables on the Same Line

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Introduction Printing multiple variables on the same line is a fundamental skill for R programmers. This guide will introduce you to the cat() function, a powerful tool for efficient and flexible output in R. Introduction to cat() The cat() f... Continue reading: How to Use cat() in R to Print Multiple Variables on the Same Line http://dlvr.it/TDRhx6

Mastering printf() in C: A Beginner’s Guide

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Introduction to printf() in C In the world of C programming, understanding how to effectively use printf() is crucial for any beginner. As one of the most widely used functions, it plays a pivotal role in outputting formatted text to the consol... Continue reading: Mastering printf() in C: A Beginner’s Guide http://dlvr.it/TDP3xj