Classification with linear discriminant analysis is a common approach to predicting class membership of observations. A previous post explored the descriptive aspect of linear discriminant analysis with data collected on two groups of beetles. In this post, we will use the discriminant functions found in the first post to classify... ... [Read more...]

by Joseph Rickert The 2017 R Conference season will get off to an early start on January 13th and 14th with RStudio::Conf 2017 in Orlando, Florida. The schedule promises an intense but collegial experience with plenty of hands-on practice working with R and the RStudio tool chain of packages and products. ... [Read more...]

Christmas day is soon upon us, so here's a greeting made with R: Each frame is a Voronoi Tesselation: about 1,000 points are chosen across the plane, which each generate a polygon comprising the region closer to it than any other selected point. These process is repeated for three designs (a ... [Read more...]

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Make it easy to make ensemble time series forecast forecastHybrid is an R package to make it easier to use the average predictions of ‘ensembles’ (or ‘combinations’) of time series models from Rob Hyndman’s forecast package. It looks after t... [Read more...]

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finch has just been released to CRAN (binaries should be up soon). finch is a package to parse Darwin Core files. Darwin Core is: a body of standards. It includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to ... [Read more...]

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It’s December 23rd and I’ve only read 49 books. Whoops. There’s still time, but it’s definitely getting dicey. I’m about halfway through three books right now so I think I’ll be able to pull it off. Fingers crossed. Of course, last year I ... [Read more...]

I highlight a lot of junk on my Kindle. Well, it’s not all junk! ? There’s usually some good stuff buried deep within my clippings.txt file. But it’s hard to manually parse through the file (and the junk). In the past I’ve relied on online ... [Read more...]

I highlight a lot of junk on my Kindle. Well, it’s not all junk! ? There’s usually some good stuff buried deep within my clippings.txt file. But it’s hard to manually parse through the file (and the junk). In the past I’ve relied on online ... [Read more...]

It’s December 23rd and I’ve only read 49 books. Whoops. There’s still time, but it’s definitely getting dicey. I’m about halfway through three books right now so I think I’ll be able to pull it off. Fingers crossed. Of course, last year I ... [Read more...]

Abstract Carrying the Danish tradition of Juleforsøg to the realm of statistics, we use R to classify the figure content of Kinder Eggs using boosted regression trees for the egg's weight and possible rattling noises. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr ... [Read more...]

The startup package makes it easy to control your R startup processes and to share part of your startup settings with others (e.g. as a public Git repository) while keeping secret parts to yourself. Instead of having long and windy .Renviron and .Rpro... [Read more...]

An R user asked a question regarding whether it’s possible to have the RStudio pipe (%__%) shortcut (Cmd-Shift-M) available in other macOS applications. If you’re using Alfred then you can use this workflow for said task (IIRC this requires an Alfred license which is reasonably cheap). When you add ... [Read more...]

If you've been thinking about trying out the Data Science Virtual Machine on Linux, but don't yet have an Azure account, you can now take a free test drive -- no credit card required! Just visit the Linux DSVM Marketplace page and click the blue button: The Linux Data Science ... [Read more...]

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We are committed to bringing you 100% authentic exercise sets. We even try to include as different datasets as possible to give you an understanding of different problems. No more classifying Titanic dataset. R has tons of datasets in its library. This is to encourage you to try as many datasets ... [Read more...]