# Monthly Archive: April 2018

## 2018-04 Extreme Makeover: R Graphics Edition

This report describes a complex R graphics customisation example using functions from the ‘grid’ and ‘gridGraphics’ packages and introduces two new functions in ‘grid’: deviceLoc …continue reading.

## I’m ‘not in’ right now…

Checking whether an item is in a vector or not in a vector is a common task. The notation in R is a little inelegant when expressing the “not in”...continue reading.

## Interpretable Machine Learning with iml and mlr

Machine learning models repeatedly outperform interpretable, parametric models like the linear regression model. The gains in performance have a price: The models operate as black boxes which are not interpretable....continue reading.

## Comparing dependencies of popular machine learning packages with pkgnet

When looking through the CRAN list of packages, I stumbled upon this little gem: pkgnet is an R library designed for the analysis of R libraries! The goal of the...continue reading.

## R Weekly 2018-18 R 3.5.0, r2d3

Hello and welcome to this new issue! r2d3 – R Interface to D3 Visualizations Big changes behind the scenes in R 3.5.0 What can we learn from data analysis failures?...continue reading.

## pillar 1.2.2

Announcing version 1.2.2 of the pillar package which prints tibbles to the terminal. This is yet another small release that addresses user feedback. Numbers are printed more consicely and accurately....continue reading.

## Will Machines Take Away Our Jobs?

The question is looming: Will robots, machines, and computer programs take our jobs? The answer seems to be “Yes, but…”. Find out why! The post Will Machines Take Away Our...continue reading.

## Neural networks and deep learning &mdash; self-study and 2 presentations

Last month, after mentioning “deep learning” a few times to some professors, I suddenly found myself in a position where I had to prepare three talks about “deep learning” within...continue reading.

## Read Random Rows from A Huge CSV File

Given R data frames stored in the memory, sometimes it is beneficial to sample and examine the data in a large-size csv file before importing into the data frame. To...continue reading.

## Re-exporting the magrittr pipe operator

… or how I stoped worrying and wrote a blog post to remember it ad infinitum. Magrittr’s pipe operator is one of those newish R-universe features that I really want...continue reading.

## Getting ready to attend rOpenSci unconf18 and probably working on tidyverse-like functions for the first time

It’s Friday 7pm and it’s been a long week with ups and downs1. But I’m enthused as I write this blog post. In less than a month from now I’ll...continue reading.

## Slides from my JAX 2018 talk: Deep Learning – a Primer

Here I am sharing the slides for a talk that my colleague Uwe Friedrichsen and I gave about Deep Learning – a Primer at the JAX conference on Tuesday, April...continue reading.

## A macro to automate the creation of indicator variables in SAS

In a recent blog post, I introduced an easy and efficient way to create indicator variables from categorical variables in SAS.  This method pretends to run logistic regression, but it...continue reading.

## Quantifying the Impact of the Number of Decks and Depth of Penetration While Counting Blackjack

Counting Blackjack has become an interest of mine over the past few months. After learning the basics of the Hi-Lo counting strategy I thought it would be beneficial to analyze...continue reading.

## Why R? 2018 Conference – Registration and Call for Papers Opened

The first edition of Polish R Users Conferences called Why R? took place on 27-29 September at Warsaw University of Technology – Faculty of Mathematics and Information Science. The event...continue reading.

## Amsterdam in an R leaflet nutshell

The municipal services of Amsterdam (The Netherlands) is providing open panorama images. See here and here. A camera car has driven around in the city, and now you can download...continue reading.

## An easy and efficient way to create indicator variables (a.k.a. dummy variables) from a categorical variable in SAS

Introduction In statistics and biostatistics, the creation of binary indicators is a very useful practice. They can be useful predictor variables in statistical models. They can reduce the amount of...continue reading.

## Stata Tricks: a half-day online course

If you are a Stata beginner, you’re writing do-file code, but you want it to be more efficient, more … Morecontinue reading.

## bigrquery 1.0.0

I’m very excited to announce that bigrquery 1.0.0 is now on CRAN. This package makes it easy to work with data stored in Google BigQuery, a hosted database for big...continue reading.

## Moving columns using basic english prepositions!

Moveme! I recently worked with a dataset that had over 100 columns and had to keep moving the order of the columns such that I could easier conduct my analysis....continue reading.