2352 search results for "Time Series"

cuRve stitching

September 15, 2015
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cuRve stitching

Remember curve stitching from grade school? It makes for a nice tutorial for working with some common R functionality.Here's an example of how to create the appearance of a parabola from plotting a series of straight lines:pkg <- c("ggplot2","reshap...

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How do you know if your model is going to work? Part 2: In-training set measures

September 7, 2015
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How do you know if your model is going to work? Part 2: In-training set measures

Authors: John Mount (more articles) and Nina Zumel (more articles). When fitting and selecting models in a data science project, how do you know that your final model is good? And how sure are you that it’s better than the models that you rejected? In this Part 2 of our four part mini-series “How do … Continue reading...

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Analysing longitudinal data: Multilevel growth models (II)

September 5, 2015
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Analysing longitudinal data: Multilevel growth models (II)

This is the third post in the longitudinal data series. Previously, we introduced what longitudinal data is, how we can convert between long and wide format data-sets, and a basic multilevel model for analysis. Apparently, the basic multilevel model is not quite enough to analyse our imaginary randomised controlled trial (RCT) data-set. This post is

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Introduction to Hypothesis Driven Development — Overview of a Simple Strategy and Indicator Hypotheses

September 3, 2015
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Introduction to Hypothesis Driven Development — Overview of a Simple Strategy and Indicator Hypotheses

This post will begin to apply a hypothesis-driven development framework (that is, the framework written by Brian Peterson on how … Continue reading →

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Introduction to Hypothesis Driven Development — Overview of a Simple Strategy and Indicator Hypotheses

September 3, 2015
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Introduction to Hypothesis Driven Development — Overview of a Simple Strategy and Indicator Hypotheses

This post will begin to apply a hypothesis-driven development framework (that is, the framework written by Brian Peterson on how … Continue reading →

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xkcd survey and the power to shape the internet

September 2, 2015
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xkcd survey and the power to shape the internet

The xkcd survey If you’ve never heard of xkcd, it’s “ webcomic of romance, sarcasm, math, and language” created by Randall Munroe. Also, if you’ve never heard of xkcd, be prepared for losing at least a day’s worth of productivity reading the comics and the excellent what if column where Randall answers hypothetical questions with physics. Randall...

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How do you know if your model is going to work? Part 1: The problem

September 2, 2015
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How do you know if your model is going to work? Part 1: The problem

Authors: John Mount (more articles) and Nina Zumel (more articles). “Essentially, all models are wrong, but some are useful.” George Box Here’s a caricature of a data science project: your company or client needs information (usually to make a decision). Your job is to build a model to predict that information. You fit a model, … Continue reading...

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Logistic Regression in R – Part One

September 1, 2015
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Logistic Regression in R – Part One

Please note that an earlier version of this post had to be retracted because it contained some content which was generated at work. I have since chosen to rewrite the document in a series of posts. Please recognize that this may take some time. Apologies for any inconvenience.   Logistic regression is used to analyze the

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R plot: Comparison of Fairbanks, Alaska and Beijing, China air quality

August 28, 2015
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R plot: Comparison of Fairbanks, Alaska and Beijing, China air quality

Here’s an interesting R plot comparing a specific air pollution metric between Fairbanks, Alaska and Beijing, China. Right off the bat, Beijing obviously has far worse air quality, and more significantly, it is a chronic, daily problem. But it is used for comparison because we already know this is the case. In Fairbanks, while air

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Spatio-Temporal Kriging in R

August 27, 2015
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Spatio-Temporal Kriging in R

PrefaceI am writing this post more for reminding to myself some theoretical background and the steps needed to perform spatio-temporal kriging in gstat. This month I had some free time to spend on small projects not specifically related to my primary occupation. I decided to spend some time trying to learn this technique since it may become useful in...

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