R-bloggers

Most predictive modeling strategies require there to be no missing data for model estimation. When there is missing data, there are generally two strategies for working with missing data: 1.) exclude the variables (columns) or observations (rows)... [Read more...]

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Cluster analysis is a statistical procedure for grouping observations using an observation-centered approach as compared to variable-centric approaches (e.g. PCA, factor analysis). Whether a preprocessing step for predictive modeling or the ... [Read more...]

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A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows • metacore {metacore} and GitHub - pharmaverse/metatools {metatools} have a new package maintainer Hi, everyone! I’m Liam and I’m excited to announce that I ... [Read more...]

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Shiny in a Nutshell Video Checkout the full R-Shiny playlist here 👉 PLAYLIST Code Press to unfold code library(shiny) ui [Read more...]

Introducing AMI - Adaptive Media Intelligence, a platform that democratizes data access through conversational analytics, interactive dashboards, and AI-powered insights. [Read more...]

A Practical Guide to Faking External Dependencies in R for Fast, Reliable Tests. [Read more...]

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Adding Cucumber specifications to an existing application? Learn how to write Gherkin scenarios that focus on user behavior, not implementation details. Use AI to iterate faster. [Read more...]

Given a set of existing Cucumber and Playwright acceptance tests, I asked Copilot to refactor them according to best practices for step organization and anti-patterns. [Read more...]

Join our workshop on Efficient R – How to write faster code, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Efficient R – How to write faster code Date: Thursday, August 28th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: Selina Baldauf, Selina is a theoretical ... [Read more...]

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