When you want more than a chi-squared test, consider a measure of association for contingency tables

[This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. In my last post, I made the point that p-values should … Read more When you want more than a chi-squared test, consider a measure of association for contingency tables

LASSO regression using tidymodels and #TidyTuesday data for The Office

[This article was first published on Rstats on Julia Silge, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I’ve been publishing screencasts demonstrating how to use the tidymodels … Read more LASSO regression using tidymodels and #TidyTuesday data for The Office

R spatial follows GDAL and PROJ development

[This article was first published on r-spatial, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. [view rawRmd] GDAL and PROJ GDAL and PROJ (formerly proj.4)are two libraries that … Read more R spatial follows GDAL and PROJ development

A look at past bear markets and implications for the future

[This article was first published on Data based investing, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. The S&P 500 is officially in a bear market, and the … Read more A look at past bear markets and implications for the future

Free Coupon for our R Video Course: Introduction to Data Science

[This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. For all our remote learners, we are sharing a free … Read more Free Coupon for our R Video Course: Introduction to Data Science

A Little Something From Practical Data Science with R Chapter 1

[This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Here is a small quote from Practical Data Science with … Read more A Little Something From Practical Data Science with R Chapter 1

COVID-19 cumulative observed case fatality rate over time by @ellis2013nz

Preamble I was slightly reluctant to add to the deluge of charts about the COVID-19 outbreak, but on the other hand making charts is one of the ways I relax and try to understand what’s going on around me. So first, to get out of the way my only advice at this point: wash hands … Read more COVID-19 cumulative observed case fatality rate over time by @ellis2013nz

All you need to know on Multiple Factor Analysis …

[This article was first published on François Husson, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Multiple facrtor analysis deals with dataset where variables are organized in groups. … Read more All you need to know on Multiple Factor Analysis …

Get a Grip! When to Add Covariates in a Linear Regression

A Guide to Accurately and Precisely Measuring Effects! by Dan VanLunen Image via Pixabay Linear regression models make it easy to measure the effect of a treatment holding other variables (covariates) fixed. But when and why should covariates be included? This post will answer that question. First, we’ll talk about covariates in the context of … Read more Get a Grip! When to Add Covariates in a Linear Regression

RcppAPT 0.0.6

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A new version of RcppAPT – our interface from … Read more RcppAPT 0.0.6

styler 1.3.0

I am pleased to announce that styler 1.3.2 isavailable on CRAN. An emergency release and a maintenance release required fromthe CRAN team followed quickly after 1.3.0, so please make sure you use version1.3.2. There are two major new features. Caching to make repeated stylingquicker and stylerignore, the feature for turning styler off for selectedlines. Let’s … Read more styler 1.3.0

A deep dive into glmnet: type.gaussian

I’m writing a series of posts on various function options of the glmnet function (from the package of the same name), hoping to give more detail and insight beyond R’s documentation. In this post, we will look at the type.gaussian option. For reference, here is the full signature of the glmnet function (v3.0-2): glmnet(x, y, … Read more A deep dive into glmnet: type.gaussian

Supercharge your GitHub Actions Experience with tic

“Continuous Integration” (CI) has become a standard for proper software development.Checking the integrity of software after changes have been made is essential to ensure its proper functionality.Also, CI helps catch problems introduced by dependencies early when executed on a regular basis (usually done via scheduled CRON runs). Multiple professional providers exist (Travis CI, AppVeyor CI, … Read more Supercharge your GitHub Actions Experience with tic

RInside 0.2.16

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A new release 0.2.16 of RInside arrived on CRAN … Read more RInside 0.2.16

Covid-19 interactive map (using R with shiny, leaflet and dplyr)

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. The departement of Public Health of the Strasbourg University Hospital (GMRC, Prof. Meyer) … Read more Covid-19 interactive map (using R with shiny, leaflet and dplyr)

Corona in Belgium

I lost a few hours this afternoon when digging into the Corona virus data mainly caused by reading this article at this website which gives a nice view on how to be aware of potential issues which can arise when collecting data and to be aware of hidden factors and it also shows Belgium. As a Belgian, … Read more Corona in Belgium

Dear Data Scientists – how to ease your job!

You are the modern Indiana Jones of digitalization! Always on the lookout to increase knowledge, show relations and take your organization to the next level. Just like the great discoverers like Leif Eriksson, Vasco da Gama and Lewis and Clark, you never let yourself be stopped from pursuing an idea and discovering new possibilities. As … Read more Dear Data Scientists – how to ease your job!

All you need to know on clustering with Factoshiny…

[This article was first published on François Husson, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. The function Factoshiny of the package Factoshiny proposes a complete clustering strategy … Read more All you need to know on clustering with Factoshiny…

Automate the Creation of an API Wrapper package by Scraping its Online Documentation

[This article was first published on Colin Fay, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I’ve recently been building a package to interact with theRocket.chat API. One … Read more Automate the Creation of an API Wrapper package by Scraping its Online Documentation

one or two?

[This article was first published on R – Xi’an’s Og, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A superposition of two random walks from The Riddler: Starting … Read more one or two?

AsioHeaders 1.12.2-1

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. An updated minor version of the AsioHeaders package arrived … Read more AsioHeaders 1.12.2-1

Why R? 2020 Conference – Registration and Call for Papers

[This article was first published on http://r-addict.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Three editions of Why R? conferences were a great networking success. During each … Read more Why R? 2020 Conference – Registration and Call for Papers

Can Trade Explain Covid -19 Cases?

TLDR: I’ve found an association between number of people that tested positive for COVID-19 in a country and imports from China. In addition there are particular industries that are particularly correlated with COVID-19 rates. Iran is still an outlier taking this information into account.  Intro: Coronavirus (COVID-19) rates of infection outside of China have not … Read more Can Trade Explain Covid -19 Cases?

R 3.6.3 is available, marking the 20th anniversary of R 1.0.0

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. On February 29, R 3.6.3 was released and is now available for Windows, … Read more R 3.6.3 is available, marking the 20th anniversary of R 1.0.0

Want to Build an AI Model for Your Business? Read this.

TL;DR Artificial Intelligence, Machine Learning, and Deep Learning models have demonstrated significant power to grow and improve businesses. We have found that the best approach to AI production is what venture capitalists do when they evaluate and invest in startups. A 2019 McKinsey survey found that a majority of executives whose companies have adopted AI … Read more Want to Build an AI Model for Your Business? Read this.

RStudio 1.3 Preview: Remote Sessions in RStudio Desktop Pro

[This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. This blog post is part of a series on new features in … Read more RStudio 1.3 Preview: Remote Sessions in RStudio Desktop Pro

Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 3

[This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Florianne Verkroost is a Ph.D. candidate at Nuffield College at the University … Read more Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 3

Preprocessing and resampling using #TidyTuesday college data

[This article was first published on Rstats on Julia Silge, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. I’ve been publishing screencasts demonstrating how to use the tidymodels … Read more Preprocessing and resampling using #TidyTuesday college data

Explainbility of {tidymodels} models with {iml}

In my previous blog post, I have shown howyou could use {tidymodels} to train several machine learning models. Now, let’s take a look atgetting some explanations out of them, using the {iml} package. Originally I did not intend to createa separate blog post, but I have encountered… an issue, or bug, when using both {iml} … Read more Explainbility of {tidymodels} models with {iml}