Monthly Archives: May 2018

Is There Another Way to Do Fantasy

May 31, 2018
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Is There Another Way to Do Fantasy

Apologies for the rushed nature of post Recently I saw this post on twitter and it got me thinking is there another way? So lets run through the rough problems as outlined in this tweet. Numbers have context (suprising I know!) What time period is best when looking at fantasy score history The general gist of the post is that Max Gawns numbers...

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Plotting Word Bigrams with 3 Chinese Classics

May 31, 2018
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Plotting Word Bigrams with 3 Chinese Classics

In the last post, we saw frequencies of the most common words in the Analects, Zhuangzi, and Mozi texts. The faceted plot did an excellent job of capturing a generic “theme” of each text. However, I wondered how the results might change when plotting bigrams (2 word combinations of adjacent words) as opposed to single values. This is where I...

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Setting up an ODBC connection with MS SQL Server on Windows

Setting up an ODBC connection with MS SQL Server on Windows

Connecting to databases is a critical piece of data anlaysis in R. In most analytic roles the data we consume is going to be found in databases. Of these some of the most common are SQL databases like MS SQL Server, PostgreSQL, and Oracle in addition to many others. In this how-to blog, I’ll walk you through the major...

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simpler SQL with dplyr

May 31, 2018
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simpler SQL with dplyr

comparing dplyr with SQL nested queries - Following on from my last post, where I demonstrated R to some first time R users, I want to do a wee comparison of dplyr V SQL, so that folks, particularly those in the NHS who might be R curious, can see just what the fuss is about. To do so...

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Geocomputation with R: workshop at eRum

May 31, 2018
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Geocomputation with R: workshop at eRum

Geocomputation with R: brief history, vector, raster, mapping, R-GIS bridges

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Classification from scratch, logistic with kernels 3/8

May 31, 2018
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Classification from scratch, logistic with kernels 3/8

Third post of our series on classification from scratch, following the previous post introducing smoothing techniques, with (b)-splines. Consider here kernel based techniques. Note that here, we do not use the “logistic” model… it is purely non-parametric. kernel based estimated, from scratch I like kernels because they are somehow very intuitive. With GLMs, the goal is to estimate ....

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New round of R Consortium grants announced

May 31, 2018
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The R Consortium has just announced its latest round of project grants. After reviewing the proposals submitted by the R community, the Infrastructure Steering Committee has elected to fund the following projects for the Spring 2018 season: Further updates to the DBI package, to provide a consistent interface between R and databases Updating the infrastructure in R for building...

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Three ways of visualizing a graph on a map

May 31, 2018
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Three ways of visualizing a graph on a map

When visualizing a network with nodes that refer to a geographic place, it is often useful to put these nodes … Read More →

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Defining Marketing with the Rvest and Tidytext Packages

May 30, 2018
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Defining Marketing with the Rvest and Tidytext Packages

I am preparing to facilitate another session of the marketing course for the La Trobe University MBA. The first lecture delves into the definition of marketing. Like most other social phenomena, marketing is tough to define. Definitions of social constructs... Continue Reading → The post Defining Marketing with the Rvest and Tidytext Packages appeared first on The Devil is in...

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Geocomputation with R: workshop at eRum

Geocomputation with R: workshop at eRum

This is a guest post by Robin Lovelace, Jakub Nowosad and Jannes Muenchow. Together we’re writing an open source book called Geocomputation with R. The project aims to introducing people to R’s rapidly evolving geographic data capabilities and prov...

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