Blog Archives

RStudio just keeps getting better

December 10, 2015
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RStudio has been a life-changer for the way I work, and for how I teach data analysis. I still have a couple of minor frustrations with it, but they are slowly disappearing as RStudio adds features. I use dual monitors and I like to code on one monitor and have the console and plots on

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Who’s downloading the forecast package?

December 9, 2015
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Who’s downloading the forecast package?

The github page for the forecast package currently shows the following information Note the downloads figure: 264K/month. I know the package is popular, but that seems crazy. Also, the downloads figure on github only counts the downloads from the RStudio mirror, and ignores downloads from the other 125 mirrors around the world. Here are the

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The hidden benefits of open-source software

November 29, 2015
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I’ve been having discussions with colleagues and university administration about the best way for universities to manage home-grown software. The traditional business model for software is that we build software and sell it to everyone willing to pay. Very often, that leads to a software company spin-off that has little or nothing to do with the university that nurtured the

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Piecewise linear trends

October 27, 2015
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Piecewise linear trends

I prepared the following notes for a consulting client, and I thought they might be of interest to some other people too. Let denote the value of the time series at time , and suppose we wish to fit a trend with correlated errors of the form     where represents the possibly nonlinear trend

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forecast package v6.2

October 20, 2015
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It is a while since I last updated the CRAN version of the forecast package, so I uploaded the latest version (6.2) today. The github version remains the most up-to-date version and is already two commits ahead of the CRAN version. This update is mostly bug fixes and additional error traps. The full ChangeLog is

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Stanford seminar

October 7, 2015
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Stanford seminar

I gave a seminar at Stanford today. Slides are below. It was definitely the most intimidating audience I’ve faced, with Jerome Friedman, Trevor Hastie, Brad Efron, Persi Diaconis, Susan Holmes, David Donoho and John Chambers all present (and probably other famous names I’ve missed). I’ll be giving essentially the same talk at UC Davis on

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Reproducibility in computational research

September 25, 2015
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Jane Frazier spoke at our research team meeting today on “Reproducibility in computational research”. We had a very stimulating and lively discussion about the issues involved. One interesting idea was that reproducibility is on a scale, and we can all aim to move further along the scale towards making our own research more reproducible. For

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Chinese R conference

September 24, 2015
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I will be speaking at the Chinese R conference in Nanchang, to be held on 24–25 October, on “Forecasting Big Time Series Data using R”. Details (for those who can read Chinese) are at china-r.org.

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Upcoming talks in California

September 22, 2015
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I’m back in California for the next couple of weeks, and will give the following talk at Stanford and UC-Davis. Optimal forecast reconciliation for big time series data Time series can often be naturally disaggregated in a hierarchical or grouped structure. For example, a manufacturing company can disaggregate total demand for their products by country of

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Mathematical annotations on R plots

September 2, 2015
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Mathematical annotations on R plots

I’ve always struggled with using plotmath via the expression function in R for adding mathematical notation to axes or legends. For some reason, the most obvious way to write something never seems to work for me and I end up using trial and error in a loop with far too many iterations. So I am

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