2327 search results for "Time series"

Superbowl XLIX: Worst Call Ever?

February 5, 2015
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Superbowl XLIX: Worst Call Ever?

Contributed by James Hedges and Malcolm Hess. James and Malcolm are part of the 12-Week Data Science Bootcamp with Vivian Zhang in the spring of 2015.

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A Step to the Right in R Assignments

February 4, 2015
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I received an out-of-band question on the use of %<>% in my CDC FluView post, and took the opportunity to address it in a broader, public fashion. Anyone using R knows that the two most common methods of assignment are the venerable (and sensible) left arrow <- and it’s lesser cousin =. <- has an

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An R User Group Mini Conference

January 29, 2015
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by Joseph Rickert With a membership that spans the entire Bay Area and the ability to hold meetings from San Jose to San Francisco, the Bay Area useR Group is in the very fortunate position of being able to attract world-class R speakers on a regular basis. Meetings that feature multiple speakers often attract 80 to a 100 or...

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rClr 0.7-3 released

January 27, 2015
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rClr 0.7-3 released

Version 0.7-3 of rClr (source code also on GitHub), a package to access arbitrary .NET code seamlessly in-process, has just been released. The package was first introduced a year and a half ago in another blog post, and you can skim through that prior ...

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Parallel Programming with GPUs and R

January 27, 2015
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by Norman Matloff You've heard that graphics processing units — GPUs — can bring big increases in computational speed. While GPUs cannot speed up work in every application, the fact is that in many cases it can indeed provide very rapid computation. In this tutorial, we'll see how this is done, both in passive ways (you write only R),...

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Wine for Breakfast: Consumption Occasion as the Unit of Analysis

January 26, 2015
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Wine for Breakfast: Consumption Occasion as the Unit of Analysis

If the thought of a nice Chianti with that breakfast croissant is not that appealing, then I have made by point: occasion shapes consumption. Our tastes have been fashioned by culture and shared practice. Yet, we often ignore the context and run our an...

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Docker and Enabling Analytic Workflows

January 26, 2015
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By Mark Sellors – Senior IT Consultant, UK It’s been a few months now since I presented on the ways in which Mango are using Docker at EARL 2014 and a lot’s happened since then, so I thought I take … Continue reading →

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Building [Security] Dashboards w/R & Shiny + shinydashboard

January 24, 2015
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Building [Security] Dashboards w/R & Shiny + shinydashboard

Jay & I cover dashboards in Chapter 10 of Data-Driven Security (the book) but have barely mentioned them on the blog. That’s about to change with a new series on building dashboards using the all-new shinydashboard framework developed by RStudio. While we won’t duplicate the full content from the book, we will show different types of...

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GPU Tutorial, with R Interfacing

January 24, 2015
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GPU Tutorial, with R Interfacing

You’ve heard that graphics processing units — GPUs — can bring big increases in computational speed.  While GPUs cannot speed up work in every application, the fact is that in many cases it can indeed provide very rapid computation.  In this tutorial, we’ll see how this is done, both in passive ways (you write only … Continue reading...

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SAS PROC MCMC example in R: Logistic Regression Random-Effects Model

January 18, 2015
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In this post I will run SAS example Logistic Regression Random-Effects Model in four R based solutions; Jags, STAN, MCMCpack and LaplacesDemon. To quote the SAS manual: 'The data are taken from Crowder (1978). The Seeds data set is a 2 x 2 fa...

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