Publications by R on Rob J Hyndman
Melbourne Data Science Initiative 2016
In just over three weeks, the inaugural MeDaScIn event will take place. This is an initiative to grow the talent pool of local data scientists and to promote Melbourne as a world city of excellence in Data Science. The main event takes place on Friday 6th May, with lots of interesting sounding titles and speakers from business and gov...
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forecast v7 and ggplot2 graphics
Version 7 of the forecast package was released on CRAN about a month ago, but I’m only just getting around to posting about the new features. The most visible feature was the introduction of ggplot2 graphics. I first wrote the forecast package before ggplot2 existed, and so only base graphics were available. But I figured it was tim...
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Explore Australian Elections Data with R
This is a guest post by my colleague Professor Di Cook, cross-posted from her Visiphilia blog. Di and I are two of the authors of the new eechidna package for R, now on CRAN.The eechidna package has just been posted on CRAN, in time for the longest election campaign in Australia since the 1950s. The next Federal election scheduled for...
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Forecast v7 (part 2)
As mentioned in my previous post on the forecast package v7, the most visible feature was the introduction of ggplot2 graphics. This post briefly summarizes the remaining new features of forecast v7. library(forecast) library(ggplot2) tslm rewritten The tslm function is designed to fit linear models to time series data. It is intended...
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Statistics positions available at Monash University
We are hiring again, and looking for people in statistics, econometrics and related fields (such as actuarial science, machine learning, and business analytics). We have a strong business analytics group (with particular expertise in data visualization, machine learning, statistical computing, R, and forecasting), and it would be gr...
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“Forecasting with R” short course in Eindhoven
I will be giving my 3-day short-course/workshop on “Forecasting with R” in Eindhoven (Netherlands) from 19-21 October. Details at https://www.win.tue.nl/~adriemel/shortcourse.html Register here Related To leave a comment for the author, please follow the link and comment on their blog: R on Rob J Hyndman. R-bloggers.com offer...
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The thief package for R: Temporal HIErarchical Forecasting
I have a new R package available to do temporal hierarchical forecasting, based on my paper with George Athanasopoulos, Nikolaos Kourentzes and Fotios Petropoulos. (Guess the odd guy out there!) It is called “thief” – an acronym for Temporal HIErarchical Forecasting. The idea is to take a seasonal time series, and compute all po...
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Rmarkdown template for a Monash working paper
This is only directly relevant to my Monash students and colleagues, but the same idea might be useful for adapting to other institutions. Some recent changes in the rmarkdown and bookdown packages mean that it is now possible to produce working papers in exactly the same format as we previously used with LaTeX.Just install the Monash...
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R packages for forecast combinations
It has been well-known since at least 1969, when Bates and Granger wrote their famous paper on “The Combination of Forecasts”, that combining forecasts often leads to better forecast accuracy. So it is helpful to have a couple of new R packages which do just that: opera and forecastHybrid. opera Opera stands for “Online Predicti...
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R package forecast v7.2 now on CRAN
I’ve pushed a minor update to the forecast package to CRAN. Some highlights are listed here. Plotting time series with ggplot2 You can now facet a time series plot like this: library(forecast) library(ggplot2) lungDeaths var vglnk = {key: '949efb41171ac6ec1bf7f206d57e90b8'}; (function(d, t) { var s = d.createElem...
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