2508 search results for "Ggplot2"

24 Days of R: Day 19

December 19, 2013
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24 Days of R: Day 19

Carrying on with the multi-level model, I'm going to look at the paid and incurred workers comp losses for a large number of insurance companies. This is a similar exercise to what I did last night, but I'm now working with real, rather than simulated data and the stochastic process is assumed to be different.

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The distribution of Twitter follower counts

December 18, 2013
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The distribution of Twitter follower counts

My Twitter account @revodavid has, of this writing, 8828 followers. But is that below or above average amongst active Twitter accounts? Since Twitter doesn't publish statistics of follower counts, I've really had little idea. Until now, that is, because Jon Bruner has done some independent research to estimate the distribution of number of followers amongst active Twitter users. Bruner...

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Twelve Days 2013: Sensor Fusion

December 18, 2013
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Twelve Days 2013: Sensor Fusion

Day Seven: Sensor Fusion TL/DR Sensor fusion is a generic term for techniques that address the issue of combining multiple noisy estimates of state in an optimal fashion. There’s a straight forward view of it as the gain on a Kalman–Bucy filter, and an even simpler interpretation under the central limit theorem. A Primer on Stochastic Control Control theory is...

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Twelve Days 2013: Sensor Fusion

December 18, 2013
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Twelve Days 2013: Sensor Fusion

Day Seven: Sensor Fusion TL/DR Sensor fusion is a generic term for techniques that address the issue of combining multiple noisy estimates of state in an optimal fashion. There’s a straight forward view of it as the gain on a Kalman–Bucy filter, and an even simpler interpretation under the central limit theorem. A Primer on Stochastic Control Control theory is...

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Book Review: Analyzing Baseball Data with R

December 17, 2013
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Book Review: Analyzing Baseball Data with R

by Max Marchi and Jim Albert (2014, CRC Press)The Sabermetric bookshelf, #3Here we have the perfect book for anyone who stumbles across this blog--the intersection of R and baseball data. The open source statistical programming environment of R is a gr...

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Cluster Analysis using R

December 17, 2013
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Cluster Analysis using R

In this post, I will explain you about Cluster Analysis, The process of grouping objects/individuals together in such a way that objects/individuals in one group are more similar than objects/individuals in other groups. For example, from a ticket booking engine database identifying clients with similar booking activities and group them together (called Clusters). Later these identified clusters can be...

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Review: Kölner R Meeting 13 December 2013

December 17, 2013
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Review: Kölner R Meeting 13 December 2013

Last week's Cologne R user group meeting was the best attended so far. Well, we had a great line up indeed. Matt Dowle came over from London to give an introduction to the data.table package. He was joined by his collaborator Arun Srinivasan, who is based in Cologne. Their talk was followed by Thomas Rahlf on Datendesign...

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New Geometry – Tline, Lline & Rline

December 16, 2013
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New Geometry – Tline, Lline & Rline

The latest version of ggtern, 1.0.1.0, has several bug-fixes and improvements. One worth mentioning, is the creation of some new geometries to assist in the plotting of constant value lines, analogous to hline and vline in ggplot2. For Lines of constant T value: For Lines of constant L value: For Lines of constant R value:… The post New...

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plotting y and log(y) in one figure

December 15, 2013
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plotting y and log(y) in one figure

Sometimes I have the desire to plot both on the linear and on the log scale. To save space just two figures is not my solution. I want to reuse the x-axis, legend, title. This post examines possibilities to do so with standard plot tools, lattice and g...

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Understanding the data analytics project life cycle

December 12, 2013
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Understanding the data analytics project life cycle

While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined data analytics processes of a The post Understanding...

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