The padr package was designed to prepare datetime data for analysis. That is, to take raw, timestamped data, and quickly convert it into a tidy format that can be analyzed with all the tidyverse tools. Recently, a colleague and I discovered a second use for the package that I had not anticipated: checking data quality. Every analysis should contain...
Since about October last year, I’ve been writing an introduction to R book. It’s been quite the experience. I’ve finally started making time to document some of the interesting...
I just discovered an interesting ggplot2 extension, geofacet, that supports arranging facet panels that mimics geographic topoloty. After playing with it, I realized that it is not only for visualizing...
The importFile() function in H2O is extremely efficient due to the parallel reading. The benchmark comparison below shows that it is comparable to the read.df() in SparkR and significantly...
I’ve caved in to the hex sticker craze, and produced some hex stickers for the forecast package for R. If you attend a workshop I teach, I’ll give you...
Data visuals: notes for my talks in 2017 Supplementary notes for CJ Brown’s talks on dataviz in 2017 for Griffith University’s honours students and the UQ Winterschool in Bioinformatics. Skip to the quiz Visualsing...
Adding Features to your Charts We saw in the previous charts some basic and well-known types of charts that googleVis offers to users. Before continuing with other, more sophisticated...
This week’s R bulletin will cover topics on how to resolve some common errors in R. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Find...
In the development of operational loss models, it is important to identify which distribution should be used to model operational risk measures, e.g. frequency and severity. For instance, why...
Recently, I have been following the development and release of Kyle Walker’s tidycensus package. I have been filled with amazement, delight, and well, perhaps another feeling…
So you are using this pipeline to have data treated by different functions in R. For example, you may be imputing some missing values using the simputation package. Let...
R is incredible software for statistics and data science. But while the bits and bytes of software are an essential component of its usefulness, software needs a community to...
Skewed data prevail in real life. Unless you observe trivial or near constant processes data is skewed one way or another due to outliers, long tails, errors or something...
Introduction I was in need of importing SPSS© data for work. There are some options but I've used both foreign and haven R packages. I prefer haven because it integrates...
Pooling the polls with Bayesian statistics In an important 2005 article in the Australian Journal of Political Science, Simon Jackman set out a statistically-based approach to pooling polls in an...
Stefan Feuerriegel This blog entry concerns our course on “Operations Reserch with R” that we teach as part of our study program. We hope that the materials are of...
What's that? You've heard of R? You use R? You develop in R? You know someone else who's mentioned R? Oh, you're breathing? Well, in that case, welcome! Come...
Face Recognition in R OpenCV is an incredibly powerful tool to have in your toolbox. I have had a lot of success using it in Python but very little...
Two hundred and twenty-nine new packages were submitted to CRAN in May. Here are my picks for the “Top 40”, organized...
Part 3 of 3 in the series Set TheoryThe union and intersection set operations were introduced in a previous post using two sets, and . These set operations can...
Which policy instruments should we use to cost-effectively reduce greenhouse gas emissions? For a given technological level there are many economic arguments in favour of tradeable emission certificates or...
Power BI has long had the capability to include custom R charts in dashboards and reports. But in sharp contrast to standard Power BI visuals, these R charts were...
Last Friday marked my two year anniversary working as a data scientist at Stack Overflow. At the end of my first year I wrote a blog post about...
By Yuri Resende Today we will use an online convex optimization technique to build a very simple algorithm for portfolio allocation. Of course this is just an illustrative...
Data wrangling is a task of great importance in data analysis. Data wrangling, is the process of importing, cleaning and transforming raw data into actionable information for analysis. It...
A new version of the nanotime package for working with nanosecond timestamps just arrived on CRAN. nanotime uses the RcppCCTZ package for (efficient) high(er) resolution time...
Among the many R packages, there is the outbreaks package. It contains datasets on epidemics, on of which is from the 2013 outbreak of influenza A H7N9 in China,...
Today we’re introducing Datazar Community Tutorials. At Datazar, we love writing tutorials and how-tos on R, Python, D3, research and science best practices in general. So starting today, we’re...
charlatan makes fake data. Excited to annonunce a new package called charlatan. While perusing packages from other programming languages, I saw a neat Python library called faker. charlatan is inspired from and ports...
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