September 2015

Logistic Regression in R – Part One

September 1, 2015 | atmathew

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 ... [Read more...]

Looking after Datasets

September 1, 2015 | Joseph Rickert

by Antony Unwin University of Augsburg, Germany David Moore's definition of data: numbers that have been given a context. Here is some context for the finch dataset: Fig 1: Illustrations of the beaks of four of Darwin's finches from "The Voyage of the Beagle". Note that only one of these (fortis) ... [Read more...]

Learning Italian with rvest and Duolingo

September 1, 2015 | Angela Roberts

  By Aimee Gott,  R Consultant, Mango Solutions Over the last month I have found multiple reasons for needing to scrape web pages for information. This started out with wanting to create a simple database for a training course containing … Continue reading → [Read more...]

Clipping polygons in R

September 1, 2015 | philmikejones

Clipping polygons is a basic GIS task. It involves removing unneeded polygons outside of an area of interest. For example, you might want to study all local authorities (LADs) in the Yorkshire and the Humber region but can only obtain shapefiles that contain all the LADs in the UK. Removing ... [Read more...]

Reasons to Learn R

September 1, 2015 | C

A new blog post over at Pluralsight describes reasons R has been generating a great deal of interest in recent days:  http://blog.pluralsight.com/r-programming-language. [Read more...]

Reasons to Learn R

September 1, 2015 | C

A new blog post over at Pluralsight describes reasons R has been generating a great deal of interest in recent days:  http://blog.pluralsight.com/r-programming-language. [Read more...]

Bayesian regression models using Stan in R

September 1, 2015 | Markus Gesmann

It seems the summer is coming to end in London, so I shall take a final look at my ice cream data that I have been playing around with to predict sales statistics based on temperature for the last couple of weeks [1], [2], [3].Here I will use the new brms (GitHub, ... [Read more...]
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