The Shiny Developer Series
Shiny is one of the best ways to build interactive documents, dashboards, and data science applications. But advancing your skills with Shiny does not come without challenges. Shiny developers often...continue reading.
R News from another blog for R community
Upcoming R courses with Jumping Rivers
You’ll be pleased to know that Jumping rivers are running R training courses up and down the UK, in London, Newcastle, Belfast and Edinburgh. I’ve put together a quick summary...continue reading.
landscapemetrics: an open‐source R tool to calculate landscape metrics
This article is originally published at https://nowosad.github.io/ Thanks for visiting r-craft.org This article is originally published at https://nowosad.github.io/ Please visit source website for post related comments.continue reading.
R wins COPSS Award!
Hadley Wickham from RStudio has won the 2019 COPSS Award, which expresses a rather radical switch from the traditional recipient of this award in that this recognises his many contributions...continue reading.
simmer 4.3.0 + JSS publication
The 4.3.0 release of simmer, the Discrete-Event Simulator for R, is on CRAN. Along with this update, we are very glad to announce that our homonymous paper finally appeared in the Journal...continue reading.
dime: Deep Interactive Model Explanations
Hubert Baniecki created an awesome package dime for serverless HTML interactive model exploration. The experimental version is at Github, here is the pkgdown website. It is a part of the...continue reading.
Data Chats: An Interview with Avision Ho
Introduction Why do an interview? On this occasion, I’ve decided to have a conversation with a data scientist for a change, as opposed to creating a vignette or reviewing a...continue reading.
Data on demand: Azure SQL Database in serverless mode
Azure SQL Database has a new “serverless” mode in preview that eliminates compute costs when not in use. In this post, I’ll show how you can set up a serverless...continue reading.
Learn about XAI in R with ,,Predictive Models: Explore, Explain, and Debug”
XAI (eXplainable artificial intelligence) is a fast growing and super interesting area. Working with complex models generates lots of problems with model validation (on test data performance is great but...continue reading.
useR!2019 roundup: workflow, reproducibility and friends!
Earlier this month I, together with two other Mangoes, made my way to France for the 2019 edition of useR!. useR! brings together users and developers both from academia and...continue reading.
Announcing pdqr
Prologue I have been working on ‘pdqr’ package for quite some time now. Initially it was intended only for creating custom distribution functions (analogues of base “p”, “d”, “q”, and...continue reading.
Web Scraping 101 in Python with Requests & BeautifulSoup
Want to obtain a specific dataset from a website which does not have an API? In this post, I explain how to do this by scraping data using Python, how...continue reading.
Validating Type I and II Errors in A/B Tests in R
In this post, we seek to develop an intuitive sense of what type I (false-positive) and type II (false-negative) errors represent when comparing metrics in A/B tests, in order to...continue reading.
Microsoft ML Server 9.4 now available
Microsoft Machine Learning Server, the enhanced deployment platform for R and Python applications, has been updated to version 9.4. This update includes the open source R 3.5.2 and Python 3.7.1...continue reading.
Dash has gone full R
This is a reblog from the “Announcing Dash for R” announcement originally published July 10. Dash, the fastest growing framework for building analytic web applications on top of Python models, is...continue reading.
Grades Aren’t Normal
Grades are not Normally distributed. That’s not what’s seen naturally in grades and the idea is not supported by statistics. You can force grades to look Normally distributed, but doing...continue reading.
EARLy bird ticket offer ends tomorrow!
R fans, you have just one more day to get your hands on discounted EARL London 2019 tickets. Our early bird offer gets you £100 off the full price ticket,...continue reading.
useR!2019 Toulouse recap
Conferences like userR & EARL are the R events to attend every year and personally, and as a company, I can’t imagine skipping one. It’s an important place to be...continue reading.
Modeling censored data with tfprobability
In this post we use tfprobability, the R interface to TensorFlow Probability, to model censored data. Again, the exposition is inspired by the treatment of this topic in Richard McElreath’s...continue reading.
numpy exponential
This tutorial will explain how to use the NumPy exponential function, which syntactically is called np.exp. This is a very simple function to understand, but it confuses many people because...continue reading.
