1851 search results for "time series"

A Simple Introduction to the Graphing Philosophy of ggplot2

March 28, 2014
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A Simple Introduction to the Graphing Philosophy of ggplot2

Blog post: a very basic introduction to building data plots using ggplot2 in R. #Rstats

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Distribution Kinetics in JAGS

March 23, 2014
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Distribution Kinetics in JAGS

Chapter 19 of Rowland and Tozer (Clinical pharmacokinetics and pharmacodynamics, 4th edition) has distribution kinetics. I am examining problem 3. It is fairly easy, especially since essentially all formulas are on the same page under 'key relationships'. The only difficulty is that the formulas are symmetrical in λ1, c1 and λ2, c2 and they are exchanged between chains. For this...

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Learn about handling character data in R with this free e-book

March 21, 2014
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Most people know R as a statistics/analytics language for analysis of quantitative data, and don't think of it as a tool for processing raw text. But R actually has some quite powerful facilities for processing character data. And as Gaston Sanchez learned, text manipulation is an important part of a modern data scientist's repertoire: Many years ago I decided...

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Help Me Understand bfast breakpoints

March 20, 2014
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The R package bfast enthralls me.  I have posted 3 times on bfast but still did not understand the impact of the h parameter.  Armed now with some d3.js, angular.js, and rCharts I thought I could see it better with a fancy interactive visualization.  Here is the result when applied to the S&P 500 monthly price series since 1950. ...

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Using R: barplot with ggplot2

March 19, 2014
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Using R: barplot with ggplot2

Ah, the barplot. Loved by some, hated by some, the first graph you’re likely to make in your favourite office spreadsheet software, but a rather tricky one to pull off in R. Or, that depends. If you just need a barplot that displays the value of each data point as a bar — which is

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MCMC for Econometrics Students – II

March 18, 2014
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MCMC for Econometrics Students – II

This is the second in a set of posts about Monte Carlo Markov Chain (MCMC, or MC2) methods in Bayesian econometrics. The background was provided in this first post, where the Gibbs sampler was introduced. The main objective of the present post is to convince you that this MCMC stuff actually works! To achieve this, what...

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Dynamic arrays in R, Python and Julia

March 18, 2014
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Dynamic arrays in R, Python and Julia

Although I have a heavy background in statistics (and therefore am primarily an R user), I find that my overall knowledge in computer science is generally lacking. Therefore, I have recently delved deeper into learning about data structures, their associated ADT’s and how they can be implemented. At the same time, I am using this as

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How popular is the President of Mexico on Twitter?

March 18, 2014
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How popular is the President of Mexico on Twitter?

Twitter simultaneously allows people to be heard and to hear, easily and in real time, bringing with it potentially fascinating and ground breaking insights for anybody trying to take the public’s pulse on a hot issue.  It is almost mandatory that so much benefit comes with its challenges, namely how to process the humongous amounts The post

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analyze the national household travel survey (nhts) with r and monetdb

March 18, 2014
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if you've ever gotten stuck in traffic and started wondering what data might be available to better design the network of roads and rail, rev your engines for the national household travel survey (nhts).  dating back to the same decade as eisenhow...

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Approximate Bayesian model choice

March 16, 2014
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Approximate Bayesian model choice

The above is the running head of the arXived paper with full title “Implications of  uniformly distributed, empirically informed priors for phylogeographical model selection: A reply to Hickerson et al.” by Oaks, Linkem and Sukuraman. That I (again) read in the plane to Montréal (third one in this series!, and last because I also watched

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