Azure Machine Learning For R Practitioners With The R SDK

Obviously, the machine hosting your R environment must have Python installed too in order to make the R SDK work properly. Let’s start to configure your preferred environment. There are two option to start developing with the R SDK: Using an Azure ML Compute Instance (the fastest way, but not the cheaper one!) Using your … Read more Azure Machine Learning For R Practitioners With The R SDK

Who is The Average Customer?

I hate to be the one to break it to you, but the average customer shouldn’t be that important to you. I’m not writing this to repeat the marketing rhetoric you hear about how “millennials” want massive amounts of choice, personalization, customization, etc. I’m here to tell you that people misunderstand the facts about their business – … Read more Who is The Average Customer?

H is for haven

[This article was first published on Deeply Trivial, 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 tidyverse includes many packages meant to make importing, wrangling, analyzing, and … Read more H is for haven

Covid-19: Explore Your Visualizer Degrees of Freedom

Setting up the stage Everybody seems to be starring at plots outlining the spread of the pandemic these days. One thing that caught my interest is how relative small differences in design choices can influence the message that a visual displays. Using the ‘Financial Times Plots’ graphs developed by John Burn-Murdoch as an example, I … Read more Covid-19: Explore Your Visualizer Degrees of Freedom

Thomas Lumley InteRview

Today I interviewed Dr. Thomas Lumley, the creator of survey::. While I recover from a hand surgery, I’ll be doing some interviews that I’m recording and then transcribing with the help of software. Also, this is the 1st time I’m using my image Jitsi Server on Digital Ocean outside testing and it worked well for videoconferencing … Read more Thomas Lumley InteRview

New R/exams Version: TinyTeX, Fixing Parameters and Random Seeds, and More

[This article was first published on R/exams, 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. New minor releases of the R/exams package to CRAN with many enhancements including … Read more New R/exams Version: TinyTeX, Fixing Parameters and Random Seeds, and More

Need a good RStudio Alternative? Try VSCode R

In this tutorial, you’ll learn to use VS Code (Visual Studio Code from Microsoft) as an alternative IDE to the most popular RStudio. You’ll start from enabling R programming within your VS Code environment and also briefly look at some features and shortcuts of VSCode R. Youtube – https://www.youtube.com/watch?v=ZFGt9LyijhM [embedded content] vscode-r Github Plugin – … Read more Need a good RStudio Alternative? Try VSCode R

G is for group_by

[This article was first published on Deeply Trivial, 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 the letter G, I’d like to introduce a very useful function: … Read more G is for group_by

Scraping Gdpr Fines

The website Privacy Affairs keeps a list of fines related to GDPR.I heard * that this might be an interesting dataset for TidyTuesdays. The dataset contains at thismoment 250 fines given out for GDPR violations and is last updated (according to the website) on 31 March 2020. All data is from official government sources, such … Read more Scraping Gdpr Fines

capitals: Knowledge Quiz Question about Capitals around the World

[This article was first published on R/exams, 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. Exercise template for a multiple-choice knowledge quiz question with flexible shuffling of the … Read more capitals: Knowledge Quiz Question about Capitals around the World

Embracing Bayesian A/B Test Measurement (and ditching P values)

We’ll start with a traditional measurement approach. We fit a logistic regression model to our data to see if Group (our predictor) has a statistically significant relationship to Conversion (our outcome). Our null hypothesis is that there is no relationship between Group and Conversion, and we’ll use a standard P-value threshold of 0.05 to either … Read more Embracing Bayesian A/B Test Measurement (and ditching P values)

Predictive Maintenance: Zero to Deployment in Manufacturing

[This article was first published on R – Hi! I am Nagdev, 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. Predictive maintenance has been seen as a holy … Read more Predictive Maintenance: Zero to Deployment in Manufacturing

R Consortium Member Esri Empowers Informed Decision-Making Around COVID-19

[This article was first published on R Consortium, 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. Esri, international supplier of geographic information system software, web GIS and geodatabase … Read more R Consortium Member Esri Empowers Informed Decision-Making Around COVID-19

F is for filter

[This article was first published on Deeply Trivial, 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 the letter F – filters! Filters are incredibly useful, especially when … Read more F is for filter

COVID-19 in the US: Back-of-the-Envelope Calculation of Actual Infections and Future Deaths

One of the biggest problems of the COVID-19 pandemic is that there are no reliable numbers of infections. This fact renders many model projections next to useless. If you want to get to know a simple method how to roughly estimate the real number of infections and expected deaths in the US, read on! As … Read more COVID-19 in the US: Back-of-the-Envelope Calculation of Actual Infections and Future Deaths

registration open for online NIMBLE short course, June 3-5, 2020

[This article was first published on R – NIMBLE, 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. Registration is now open for a three-day online training workshop on … Read more registration open for online NIMBLE short course, June 3-5, 2020

Retries in API packages and reinventing the wheel

[This article was first published on Posts on R-hub 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. Web APIs can sometimes fail for no particular reason;therefore packages … Read more Retries in API packages and reinventing the wheel

10 Things We Learned in Creating the Blog Guide with bookdown

After soliciting, reviewing, and publishing over 100 blog posts and tech notes by rOpenSci community members, we have created the rOpenSci Blog Guide for Authors and Editors to address many frequently asked questions and frequently given suggestions. Technically, we structured the content as a bookdown gitbook. It was Stef’s first foray into the glorious process … Read more 10 Things We Learned in Creating the Blog Guide with bookdown

Discount on Manning Books, Including our own Practical Data Science with R 2nd Edition

[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. We have a discount on Manning Books, including our own … Read more Discount on Manning Books, Including our own Practical Data Science with R 2nd Edition

Considerations on the importance of data and science in data science

Surely, the most frequent type of visual is that comparing how COVID-19 is affecting different regions, either within a country or comparing different countries (usually using China or Wuchan as a reference -after all, it is where it all started). While this kind of plots could provide answers to questions such as how a specific … Read more Considerations on the importance of data and science in data science

XLConnect 1.0.1

[This article was first published on Mirai Solutions, 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. XLConnect 1.0.1 now available from CRAN and from our GitHub repository. We … Read more XLConnect 1.0.1

Appsilon’s shiny.info Development and Testing Shiny Package Released on CRAN

Appsilon’s open source shiny.info package just received a major update and is now available on CRAN. A great solution for development and testing, shiny.info allows for displaying diagnostic information from inside Shiny apps. We’ve also included a number of accessibility features to streamline your work. What is shiny.info? shiny.info is a Shiny package developed and … Read more Appsilon’s shiny.info Development and Testing Shiny Package Released on CRAN

RStudio Connect as a Solution for Remote Data Science Teams

The situation around COVID-19 has forced many countries around the world to adopt social distancing policies. This means that more of the world’s workforce is working remotely than ever before. Data Science teams are no exception. Distributed teams bring unique challenges, and managers may be looking for new tools. In this article we’ll explain how … Read more RStudio Connect as a Solution for Remote Data Science Teams

A Function for Calculating Tidy Summaries of Multiple t-tests

[This article was first published on Mark H. White II, PhD, 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 t-test is one of the most often used … Read more A Function for Calculating Tidy Summaries of Multiple t-tests

How to make that crazy Fox News y axis chart with ggplot2 and scales by @ellis2013nz

Possibly you have seen this graphic circulating on social media. At first it doesn’t look too remarkable, but then you notice the vertical axis. Oh. The gridlines are equally spaced on the page, but sometimes the same space represents 30 people, sometimes 10, and sometimes 50. It isn’t even strictly increasing – which might be … Read more How to make that crazy Fox News y axis chart with ggplot2 and scales by @ellis2013nz

SR2 Chapter 3 Medium

[This article was first published on Brian Callander, 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’s my solution to the medium exercises in chapter 3 of McElreath’s … Read more SR2 Chapter 3 Medium

SR2 Chapter 3 Hard

[This article was first published on Brian Callander, 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’s my solutions to the hard exercises in chapter 3 of McElreath’s … Read more SR2 Chapter 3 Hard

The significance of population size, year, age and per cent women on the education level in Sweden

In my last post, I analysed how the level of education is affected by region, sex and year. In this post, I will continue with the same dataset but this time I will include age in the analysis. Please send suggestions for improvement of the analysis to [email protected]. First, define libraries and functions. library (tidyverse) … Read more The significance of population size, year, age and per cent women on the education level in Sweden

On the “correlation” between a continuous and a categorical variable

Let us get back on the Titanic dataset, 1 2 3 4 loc_fichier = “http://freakonometrics.free.fr/titanic.RData” download.file(loc_fichier, “titanic.RData”) load(“titanic.RData”) base = base[!is.na(base$Age),] On consider two variables, the age x (the continuous one) and the survivor indicator y (the qualitative one) 1 2 X = base$Age Y = base$Survived It looks like the age might be a … Read more On the “correlation” between a continuous and a categorical variable

D is for dummy_cols

[This article was first published on Deeply Trivial, 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 the letter D, I’m going to talk about the dummy_cols functions, … Read more D is for dummy_cols

Caching in R

[This article was first published on Posts | Joshua Cook, 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. Introduction Caching intermediate objects in R can be an efficient … Read more Caching in R

Getting Started With Parallel Programming In R

Dividing the work between multiple CPU cores Image from Pixabay Although many great sources for parallel computing in R exist, few explain the concepts in such a basic way that anyone can get started. Due to the high-level nature of R and the strong open source developer community, it is remarkably simple to parallelise both … Read more Getting Started With Parallel Programming In R

Another “flatten the COVID-19 curve” simulation… in R

[This article was first published on long time ago…, 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.  Hi there, This is the best meme I’ve found during these … Read more Another “flatten the COVID-19 curve” simulation… in R

GARCHery

[This article was first published on R on OSM, 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 our last post, we discussed using the historical average return … Read more GARCHery

patientcounter

[This article was first published on HighlandR, 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. fast, flexible census tables – Counting patients is hard Blimey. It’s over 3 … Read more patientcounter

Why R? Webinar on R/exams for E-Learning Quizzes and Beyond

[This article was first published on R/exams, 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. Webinar hosted by Why R? Foundation: Slides, video, and e-learning resources. Why R? … Read more Why R? Webinar on R/exams for E-Learning Quizzes and Beyond

COVID-19 shiny / plotly dashboard

Governments and COVID-19: Which one stops it faster, better, has fewer people dying? These questions get answered with my dashboard. A contribution to the shiny-contest: https://community.rstudio.com/t/material-design-corona-covid-19-dashboard-2020-shiny-contest-submission/59690 Intro How did Corona spread? Using the animation feature of R-shiny this can be easily tracked. COVID-19 is the major topic in all news channels. The place I live … Read more COVID-19 shiny / plotly dashboard

C is for coalesce

[This article was first published on Deeply Trivial, 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 the letter C, we’ll talk about the coalesce function. If you’re … Read more C is for coalesce

Introductory videos for Explanatory Model Analysis with R

Remote teaching at my university encouraged me to prepare some video materials for Explanatory Model Analysis techniques, i.e. techniques of exploration, explanation and visualisation of predictive models. The pyramid for Explanatory Model Analysis. Left part is focused on a single observation (instance-level or local explanations). Right part is focused on the whole data set (called … Read more Introductory videos for Explanatory Model Analysis with R