Package developers relaxed a bit in August.; only 160 new packages went to CRAN that month. Here are my “Top 40” picks organized into seven categories: Data, Machine Learning, Science, Statistics, Time Series, Utilities, and Visualization. Data nsapi v0.1.1: Provides an interface to the Nederlandse Spoorwegen (Dutch Railways) API, allowing users to ...

And here is the third Le Monde mathematical puzzle  open for competition: Consider for this puzzle only integers with no zero digits. Among these an integer x=a¹a²a³… is refined if it is a multiple of its scion, the integer defined as x without the first digit, y=...

@drsimonj here with a quick share on making great use of the secondary y axis with ggplot2 – super helpful if you’re plotting groups of time series! Here’s an example of what I want to show you how to create (pay attention to the numbers of the ...

@drsimonj here with a quick share on making great use of the secondary y axis with ggplot2 – super helpful if you’re plotting groups of time series! Here’s an example of what I want to show you how to create (pay attention to the numbers of the ...

How to apply a function to a matrix/tibble

I am happy to announce that a new version of afex (version 0.22-1) has appeared on CRAN. This version comes with two major changes, for more see the NEWS file. To get the new version including all packages used in the examples run: install.packages("afex", dependencies = TRUE) First, afex ...

If anyone else is like me, eventually when looking up a future destination you will stumble across the climate data table on Wikipedia. There is…Continue ReadingScraping Tables from Wikipedia for Visualizing Climate Data

Correctly interpreting predictive models can be tricky. One solution to this problem is to create interactive simulators, where users can manipulate the predictor variables and see...

This story was already published in RViews. It describes how it is possible to build a large scale shiny app without getting lost in code. All code of this story can be checked out at: https://github.com/zappingseb/biowarptruck Last month, at the R/Pharma conference that took place ...

In other articles I provide the mathematical definitions of D-error and worked examples of how to calculate D-error, but in the real world, most people...

In the second part of this blog series, I showed how to compute spatial kernel density estimates based on area-level data. The Kernelheaping package also supports boundary-corrected kernel density estimation, which allows us to exclude certain areas, where we know that the density must be zero. One example is estimating ...

Use Thor’s hammer to get data scientists ready to work faster than you ever thought. Thor’s hammer just needs 5 pieces and you and your new employees are good to go. “assorted-type hand tool lot” by Ashim D’Silva on UnsplashWelcome to your new office! Let’s take a ...