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Knowing Something vs. Knowing the Name of Something: Some Points about Causal Analysis

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The famed physicist Richard Feynman once said, “I learned very early the difference between knowing the name of something and knowing something,” a lesson from his father. I think too often we in the statistics/machine learning field are guilty of “only knowing the name of something.” Well, in most ... Continue reading: Knowing Something vs. Knowing the Name of Something: Some Points about Causal Analysis http://dlvr.it/T3SR99

Navigating the Enchanted Forest of Data: A Tale of Reproducible Research with RMarkdown

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Gathering Your Gear: Preparing for the Quest with RMarkdownStanding at the threshold of the Enchanted Forest of Data, you’re about to embark on a journey where insight and clarity emerge from the shadows of complexity. Your guide through this mystical realm is RMarkdown, a powerful tool that weaves the ... Continue reading: Navigating the Enchanted Forest of Data: A Tale of Reproducible Research with RMarkdown http://dlvr.it/T3SR1d

Unlocking Efficiency: How to Set a Data Frame Column as Index in R

Introduction In the realm of data manipulation and analysis, efficiency is paramount. One powerful technique to enhance your workflow is setting a column in a data frame as the index. This seemingly simple task can unlock a plethora of benefits,... Continue reading: Unlocking Efficiency: How to Set a Data Frame Column as Index in R http://dlvr.it/T3Rjzt

Reproducible data science with Nix, part 10 — contributing to nixpkgs

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I’ve very recently started contributing to the nixpkgs repository of packages, which contains all the packages you can install from the Nix package manager. My contributions are fairly modest: I help fix R packages that need some tweaking to make them successfully build for Nix. Most of these fixes ... Continue reading: Reproducible data science with Nix, part 10 — contributing to nixpkgs http://dlvr.it/T3RjZb

Escape the Spreadsheet Inferno: Switch to Shiny for Clinical Trial Reporting

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Data management in the pharmaceutical industry presents unique challenges, often compounded by the sheer volume and complexity of clinical trial data. Traditional methods, particularly spreadsheet-based approaches, have long been the norm, yet they pose significant drawbacks. Interested in advancing clinical research with dynamic reports? Uncover how Shiny and Quarto can ... Continue reading: Escape the Spreadsheet Inferno: Switch to Shiny for Clinical Trial Reporting http://dlvr.it/T3Q7tY

What Good is Analysis of Variance?

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Introduction I’d like to demonstrate what “analysis of variance” (often abbreviated as “anova” or “aov”) does for you as a data scientist or analyst. After reading this note you should be able to determine how an analysis of variance style calculation can or can not help with your project. (... Continue reading: What Good is Analysis of Variance? http://dlvr.it/T3PH2z

The R Consortium 2023: A Year of Growth and Innovation

Excerpted from the Annual Report Access the annual report here! Letter from the Chair — Mehar Pratap Singh, Chairman Welcome to the 2023 Annual Report of the R Consortium. This... The post The R Consortium 2023: A Year of Growth and Innovation appeared first on R Consortium. Continue reading: The R Consortium 2023: A Year of Growth and Innovation http://dlvr.it/T3NkPW