# 2352 search results for "Time Series"

## cuRve stitching

September 15, 2015
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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...

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

September 7, 2015
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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...

## Analysing longitudinal data: Multilevel growth models (II)

September 5, 2015
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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

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

September 3, 2015
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This post will begin to apply a hypothesis-driven development framework (that is, the framework written by Brian Peterson on how … Continue reading →

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

September 3, 2015
By

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

## xkcd survey and the power to shape the internet

September 2, 2015
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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...

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

September 2, 2015
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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...

## 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

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

August 28, 2015
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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

## Spatio-Temporal Kriging in R

August 27, 2015
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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...