R-bloggers

Part 1: Using Google Lighthouse for Web Pages Part 2: Analysing Shiny App start-up Times with Google Lighthouse Part 3: Effect of Shiny Widgets with Google Lighthouse (This post) This is the third blog in our series on the Google Lighthouse too...

Efficiently handling complex workflows is crucial in computational biology, going beyond necessity to become a competitive differentiator. As professionals in this dynamic field, you’re likely familiar with the challenges: integrating diverse data sources, ensuring reproducibility, and scaling operations efficiently. Enter Nextflow, a robust solution designed to simplify and streamline ...

Guest blog contributed by Rikimaru Nishimura, Statistical Programming, Janssen Pharmaceutical K.K. I would like to introduce the task force of Open-Source Software (OSS) in Data Science Expert Committee, Drug Evaluation... The post Introduction of R activities in Japan  appeared first on R Consortium.

The Art of Testable CodeIn the intricate world of programming, particularly in the field of data science, the ability to write testable code stands as a hallmark of a skilled developer. Testable code is the backbone of reliable and maintainable softwar...

Introduction: The actuarial profession is on the cusp of a transformation spearheaded by integrating programming into the traditional spreadsheet-based workflow. Georgios Bakoloukas, Head Model and Analytics, Swiss Re and Benedikt... The post New R/Insurance Webinar Series: The Journey from Excel to High-Performance Programming in R appeared first on R ...

Welcome to the final part of our “Unlocking the Power of Functional Programming in R” series. In this article, we’ll explore how functional programming enhances reproducibility and testing in data analysis, particularly in industries like pharmaceutical research. We’ll also address the challenges of transitioning to functional programming in ...

Temperature – CC-BY-SA by domollie Great news! Météo-France has started to widen its open archive data. No API so far and a lot of files… What can we do? library(tidyverse) library(httr) library(glue) library(janitor) library(jsonlite) libr...

The use of the R programming language has seen exponential growth across industries, with its role being especially pronounced in the pharmaceutical sector. Japan stands out in this growth narrative,... The post Webinar: Use of R in Japan’s Pharma Industry appeared first on R Consortium.

You can read the original post in its original format on Rtask website by ThinkR here: ‘fusen’ v0.6.0 (beta): a new Rmd/Qmd parser with ‘lightparser’ to try before release {fusen} now relies on {lightparser} to detect the different parts of a Rmd or a Qmd file before inflating your ...

It seems like it’s getting easier and easier to get into deep learning, at least as a practitioner. Packages like FastAI are available to masses for both Python and R, and in some simple scenarios they seem to provide a no-brainer solution for training deep learning models with as ...

# 137–138Puzzles:PQ_137: content filePQ_138: content filePQ_137Our goal today is to find out some data properties in table, but unfortunatelly they are weirdly nested in cells. It doesn’t look scary because we already know that many structured are nest...

Introduction Degree days are useful as a measure of building heating and cooling demands. A degree day is calculated as the difference between the average temperature (the average of the high and low temperature for the day) and a reference temperature (in the US 65°F is used). For example, if ...

Introduction Tired of your least-squares regression model giving wonky results because some data points shout louder than others? Meet Weighted Least Squares (WLS), the superhero of regression, ready to tackle unequal variance (heteroscedasticit...

In this Microsoft Fabric series: We have looked into creating the lakehouse, checked the delta lake and delta tables, got some data into the lakehouse, and created a custom environment and Spark job definition. And now we need to see,…Read more ›

Laura M. Sangalli is a professor of Statistics at Politecnico di Milano, Italy. Her research interests include functional data analysis, high-dimensional and complex data, spatial data analysis, and biostatistics. With... The post femR: Bridging Physics and Statistics in R with Support from the R Consortium appeared first on R Consortium.