In the exercises below we will work with anytime and lubridate package to see how to manipulate date and time Answers to the exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a ...

Newly published postcode open data!

Cats are great. Perhaps Hadley Wickham and Lionel Henry think so too given the wonderful choice of name for their purrr package. Hadley Wickham has also created a superb package called forcats, likely  an abbreviation of “for categoricals” but wittingly cat-themed, which is very, very useful to the data scientist. ...

Machine learning’s popularity in healthcare is growing thanks to its expanding capabilities in medical image analysis, predictive analytics, and prescriptive analytics for clinical decision support. The machine-learning-as-a-service market is expected to grow to almost $5.4 billion by 2022, with healthcare certainly being one of the industries driving that trend. Even today, ...

Time is running out for you to send in your abstract submissions for this year’s EARL Conferences. If you have an R story you’d like to share then make sure you send...

Beth Ashlee, Data Scientist After the success of rstudio::conf 2017 this year the conference was back and bigger and better than ever with 1000+ attendees in sunny San D...

A Simple Method for Purging Mediation Effects among Independent Variables Mediation can occur when one independent variable swamps the effect of another, suggesting high correlation between the two variables. Though there are some great packages for mediation analysis out there, the simple intuition of its need is often ambiguous, especially ...

Discriminant analysis is used when the variable to be predicted is categorical in nature. This analysis requires that the way to define data points to the respective categories is known which makes it different from cluster analysis where the classification criteria is not know. It works by calculating a score ...

In yesterday’s post I focused on the task of using R to “drive” MS Excel. I deliberately ended the post with a fully functioning (pun intended) but very ugly set of code. Why “ugly”? Well, because the last set of code wound up repeating 4 lines of code 12 times!

I’ll be talking about Deep Learning with Keras in R and Python at the following upcoming meetup: Ruhr.Py 2018 on Wednesday, April 4th Introducing Deep Learning with Keras and Python Keras is a high-level API written in Python for building and prot...

In our next MünsteR R-user group meetup on Tuesday, April 17th, 2018 Kai Lichtenberg will talk about deep learning with Keras. You can RSVP here: http://meetu.ps/e/DDY1B/w54bW/f Although neural networks have been around for quite a while now, dee...

I have until recently made it a habit to draw a clear distinction about using R for data analysis and Microsoft Excel for other office productivity tasks. I know there are people who use Excel to process data and even (gasp) to teach statistics with it. But I’m a ...

Set-up Getting the tweets Are world leaders actually bots? Set-up Given that I do quite like twitter, I thought it would be a good idea to right about R’s interface to the twitter API; rtweet. As usual, we can grab the package in the usual way. We’re also ...

When checking the Python t distribution random generator, np.random.standard_t(), I came upon this manual page, which actually does not explain how the random generator works but spends instead the whole page to recall Gosset’t test, illustrating its use on an energy intake of 11 women, but ending ...

Before installing anything I signed up on https://github.com/and created my R-ANALYTICS repository:https://github.com/LaranIkal/R-ANALYTICSNow the installation and setup.1. I installed git on Ubuntu, from a terminal window:$ sudo apt-get update $ sudo apt-get install git2.- I configured git:I did this through the git ...

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