1128 search results for "time series"

FasteR! HigheR! StongeR! – A Guide to Speeding Up R Code for Busy People

April 25, 2013
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FasteR! HigheR! StongeR! – A Guide to Speeding Up R Code for Busy People

This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group.

First, Ask “Why?”

It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point:

I’m just going to say it.I like for loops in #Rstats,...

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A Call for Context-Aware Measurement

April 25, 2013
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A Call for Context-Aware Measurement

Context awareness seems to be everywhere, and everyone seems to be saying that context matters.  Gartner foresees "a game-changing opportunity" in what it calls context-aware computing.  The title of their report states it best, "Context Shap...

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garch and the distribution of returns

April 22, 2013
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garch and the distribution of returns

Using garch to learn a little about the distribution of returns. Previously There are posts on garch — in particular: A practical introduction to garch modeling The components garch model in the rugarch package garch and long tails There has also been discussion of the distribution of returns, including a satire called “The distribution of … Continue reading...

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In Praise of Quandl!

April 18, 2013
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(This article was first published on Econometrics Beat: Dave Giles' Blog, and kindly contributed to R-bloggers) Data - the econometrician's life-blood! Can't function without it.So, when a new source of data becomes available - especially one that's sophisticated, reliable, and FREE - it's time to sit up and take notice. Quandl is a recent Canadian start-up that delivers economic...

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GSoC 2013: At the starting line

April 15, 2013
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GSoC 2013: At the starting line

Google Summer of Code will be open for students on Monday, April 22.  The R Project has once again been selected as a mentoring organization , and a variety of mentors have proposed a number of projects for students to work on during this summer.  Here’s a bit about the program, and more on the

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Mapping the GDELT data (and some Russian protests, too)

April 15, 2013
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Mapping the GDELT data (and some Russian protests, too)

(This article was first published on Quantifying Memory, and kindly contributed to R-bloggers) In this post I show how to select relevant bits of the GDELT data in R and present some introductory ideas about how to visualise it as a network map. I've included all the code used to generate the illustrations. Because of this, if you here...

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Using R — Working with Geospatial Data

April 14, 2013
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Using R — Working with Geospatial Data

This entry is part 12 of 12 in the series Using RGIS, an acronym that brings joy to some and strikes fear in the heart of those not interested in buying expensive software. Luckily fight or flight can be saved for another day because you …   read more ...

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Stan 1.3.0 and RStan 1.3.0 Ready for Action

April 12, 2013
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Stan 1.3.0 and RStan 1.3.0 Ready for Action

The Stan Development Team is happy to announce that Stan 1.3.0 and RStan 1.3.0 are available for download. Follow the links on: Stan home page: http://mc-stan.org/ Please let us know if you have problems updating. Here’s the full set of release notes. v1.3.0 (12 April 2013) ====================================================================== Enhancements ---------------------------------- Modeling Language * forward sampling (random

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Spring Cleaning Data: 5 of 6- 2 ifelse vs Merge

April 12, 2013
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The blog in the data cleaning series looks at separating out the Federal Reserve Districts. What I wanted was two additional columns, where I had the name of the city and the number for each district. Since I was on a separation kick I thought it would...

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In case you missed it: March 2013 Roundup

April 10, 2013
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In case you missed them, here are some articles from March of particular interest to R users. Facebook used R to analyze profile photo changes to create a map of same-sex marriage support in the USA. Joe Rickert contrasts random sampling with fitting models directly to large data sets. A presentation by Carlos Somohano summarizes the history, skills and...

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