1909 search results for "time series"

Dependencies of popular R packages

July 8, 2014
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Dependencies of popular R packages

With the growing popularity of R, there is an associated increase in the popularity of online forums to ask questions. One of the most popular sites is StackOverflow, where more than 60 thousand questions have been asked and tagged to be related to R. On the same page, you can also find related tags. Among the top 15 tags...

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Reflections on useR! 2014

July 7, 2014
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Reflections on useR! 2014

UseR! 2014, the R user conference held last week in LA, was the most successful yet. Around 700 R users from around the world converged on the UCLA campus to share their experiences with the R language and to socialize with other data scientists, statisticians and others using R. The week began with a series of 3-hour tutorials on...

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rNOMADS 2.0.1 released

July 5, 2014
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rNOMADS 2.0.1 released

The latest version of rNOMADS is now available on CRAN.  This update resolves several minor bugs and one major one involving multiple variable/level selections when using the ModelGrid function.  I have also added support for two more models on NOMADS:  Climate Forecast System Flux Products and Climate Forecast System 3D Pressure Products.  This brings the

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How to Remember the Poisson Distribution

July 3, 2014
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How to Remember the Poisson Distribution

The Poisson cumulative distribution function (CDF) \begin{equation} F(α,n) = \sum_{k=0}^n \dfrac{α^k}{k!} \; e^{-α} \label{eqn:pcdf} \end{equation} is the probability of at most $n$ events occurring when the average number of events is α, i.e., $\Pr(X \le n)$. Since \eqref{eqn:pcdf} is a probability function, it cannot have a value greater than 1. In R, the CDF is given by the...

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FRAMA Part III: Avoiding Countertrend Trading — A First Attempt

July 2, 2014
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FRAMA Part III: Avoiding Countertrend Trading — A First Attempt

This post will begin to experiment with long-term directional detection using relationships between two FRAMA indicators. By observing the relationship … Continue reading →

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F1 Doing the Data Visualisation Competition Thing With Tata?

July 2, 2014
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F1 Doing the Data Visualisation Competition Thing With Tata?

Sort of via @jottevanger, it seems that Tata Communications announces the first challenge in the F1® Connectivity Innovation Prize to extract and present new information from Formula One Management’s live data feeds. (The F1 site has a post Tata launches F1® Connectivity Innovation Prize dated “10 Jun 2014″? What’s that about then?) Tata Communications are

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2014 UseR conference, days 1-2

July 2, 2014
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2014 UseR conference, days 1-2

I’m at UCLA for the UseR Conference. I attended once before, and I really enjoyed it. And I’m really enjoying this one. I’m learning a ton, and I find the talks very inspiring. In my comments below, I give short shrift to some speakers (largely by not having attended their talks), and I’m critical in

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Win a free copy of a new video course on ggplot2 and Shiny!

July 1, 2014
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Win a free copy of a new video course on ggplot2 and Shiny!

Noticed all these posts on r-bloggers about ggplot2 and shiny? Do you want in? My course “Building Interactive Graphs with ggplot2 and Shiny” (published by Packt Publishing) covers those 2 packages in a series of 40 videos, each one dedicated … Continue reading →

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Frequentist inference only seems easy

July 1, 2014
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Frequentist inference only seems easy

Two of the most common methods of statistical inference are frequentism and Bayesianism (see Bayesian and Frequentist Approaches: Ask the Right Question for some good discussion). In both cases we are attempting to perform reliable inference of unknown quantities from related observations. And in both cases inference is made possible by introducing and reasoning over Related posts:

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Include promo/activity effect into the prediction (extended ARIMA model with R)

Include promo/activity effect into the prediction (extended ARIMA model with R)

I want to consider an approach of forecasting I really like and frequently use. It allows to include the promo campaigns (or another activities and other variables as well) effect into the prediction of total amount. I will use a fictitious example and data in this post, but it works really good with my real data.  So, you can... Read More »

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