Here is the course link. Course Description Get ready to have some fun with maps! Interactive Maps with leaflet in R will give you the tools to make attractive and interactive web maps using spatial data and the tidyverse. In this course, you will cre... [Read more...]

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Generalised Additive Models (GAM) are non-parametric models that add smoother to the data. On this exercise, we will look at GAMs using cubic spline using the mgcv package. Dataset used can be downloaded here. The dataset is the experiment result at grassland richness over time in Yellowstone National Park (Skkink ... [Read more...]

Calibration in survey sampling is a wonderful tool, and today I want to show you how we can use it in some Machine Learning applications, using the R package Icarus. And because ’tis the season, what better than a soccer dataset to illustrate this? The data and code are located ... [Read more...]

As of 2018-06-17 the elmNN package was archived and due to the fact that it was one of the machine learning functions that I used when I started learning R (it returns the output results pretty fast too) plus that I had to utilize the package last week for ... [Read more...]

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It’s easy to come to a conference and feel intimidated by the wealth of knowledge and expertise of other attendees. As Ellen Ullman, a software engineer and writer describes,1 I was aware at all times that I had only islands of knowledge separated by darkness; that I was surrounded ... [Read more...]

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Survey your audience and visualise the results with R and Google forms I wanted to make my presentation on dataviz at the UQ School of Bioinformatics more interactive. A quiz is a good way to engage your audience. Given I was giving a talk about R datavisuals I thought it ... [Read more...]

Hi there!Just a few lines to inform you about the new release of rWind R package (v1.0.2). This version have several new features. Here you have an example of one of them, the function wind.dl_2 to download time series of wind data. In this example we create a ... [Read more...]

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Dear readers, I have been consolidating my online presence and the Devil is in the Data blog has moved to the Lucid Manager website. This will be the last post on this domain and I hope to see you again... Continue Reading → The post The Devil is in the Data ... [Read more...]

A recent blog post regarding data visualization had some barplots I liked the look of (aesthetically…for research purposes, they wouldn’t be suitable). They look as if they’ve be coloured in with a pencil, rather than having solid blocks of colour… I wondered whether it’s possible with ... [Read more...]

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The next DALEX workshop will take place in 4 days at UseR. In the meantime I am working on a new explainer for a single observation. Something like a diagnostic plot for a single observation. Something that extends Ceteris Paribus Plots. Something similar to Individual Conditional Expectation (ICE) Plots. An experimental ... [Read more...]

RStudio makes R easier to use. It includes a code editor, debugging & visualization tools. I love it but when beginners launch RStudio they are sometimes confused by all the panes and tabs. Here I have tried to give a quick visual guide to the anatomy of RStudio for people new ... [Read more...]

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Have you found yourself repeating the same analysis for different groups in your data? And have you wondered about a better way of doing so in R? I have this problem often. RMarkdown, knitr, and RStudio make generating such automated reports very easy. You need two things: A parent file ... [Read more...]