2177 search results for "time series"

Should I use premium Diesel? Result: No

May 2, 2015
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Should I use premium Diesel? Result: No

A while ago I had a post: 'Should I use premium Diesel? Setup. Since that time the data has been acquired. This post describes the results.DataData is registered by me in 2014 and 2015. 2014 has standard Diesel, while 2015 has premium. Both are fr...

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Survival Analysis With Generalized Additive Models : Part I (background and rationale)

May 1, 2015
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Survival Analysis With Generalized Additive Models : Part I (background and rationale)

After a really long break, I’d will resume my blogging activity. It is actually a full circle for me, since one of the first posts that kick started this blog, matured enough to be published in a peer-reviewed journal last week. In the next few posts I will use the R code included to demonstrate the

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Survival Analysis With Generalized Additive Models : Part I (background and rationale)

May 1, 2015
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Survival Analysis With Generalized Additive Models : Part I (background and rationale)

After a really long break, I’d will resume my blogging activity. It is actually a full circle for me, since one of the first posts that kick started this blog, matured enough to be published in a peer-reviewed journal last week. In the next few posts I will use the R code included to demonstrate the

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Wakefield: Random Data Set (Part II)

April 29, 2015
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Wakefield: Random Data Set (Part II)

This post is part II of a series detailing the GitHub package, wakefield, for generating random data sets. The First Post (part I) was a test run to gauge user interest. I received positive feedback and some ideas for improvements, … Continue reading →

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Wakefield: Random Data Set (Part II)

April 29, 2015
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Wakefield: Random Data Set (Part II)

This post is part II of a series detailing the GitHub package, wakefield, for generating random data sets. The First Post (part I) was a test run to gauge user interest. I received positive feedback and some ideas for improvements, … Continue reading →

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Twelve Graphs & Dashboards You Should See On Climate Change, Science, & Public Opinion

April 28, 2015
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Twelve Graphs & Dashboards You Should See On Climate Change, Science, & Public Opinion

Plotly has teamed up with The White House on President Obama’s Climate Data Initiative to explore and explain climate trends. This post is our first contribution. You’ll see interactive graphs about: temperature and CO2 (4), climate change & environmental impact (4), attitudes about global warming (3), and a population graph. If you like this post, please share...

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Situational Baseball: Analyzing Runs Potential Statistics

April 28, 2015
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Situational Baseball: Analyzing Runs Potential Statistics

by Mark Malter After reading the book, Analyzing Baseball with R, by Max Marchi and Jim Albert, I decided to expand on some of their ideas relating to runs created and put them into an R shiny app . The Server and UI code are linked at the bottom of the Introduction tab. I downloaded the Retrosheet play-by-play data...

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Using R and lme/lmer to fit different two- and three-level longitudinal models

April 21, 2015
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Using R and lme/lmer to fit different two- and three-level longitudinal models

I often get asked how to fit different multilevel models (or individual growth models, hierarchical linear models or linear mixed-models, etc.) in R. In this guide I have compiled some of the more common and/or useful models (at least common in clinical psychology), and how to fit them using nlme::lme() and lme4::lmer(). I will cover the common two-level random...

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AusDM 2015 submission deadline extended to Thursday 30 April

April 20, 2015
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AusDM 2015 submission deadline extended to Thursday 30 April

The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8–9 August 2015 (co-located with SIGKDD’15) URL: http://ausdm15.ausdm.org/ The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It … Continue reading →

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The Non-parametric Bootstrap as a Bayesian Model

April 17, 2015
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The Non-parametric Bootstrap as a Bayesian Model

The non-parametric bootstrap was my first love. I was lost in a muddy swamp of zs, ts and ps when I first saw her. Conceptually beautiful, simple to implement, easy to understand (I thought back then, at least). And when she whispered in my ear, “I make no assumptions regarding the underlying distribution”, I was in love. This love...

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