February 2014

ggtern 1.0.3.1 on CRAN

February 1, 2014 | Nicholas Hamilton

An update to ggtern, version 1.0.3.1, is now available on CRAN! This version includes a number of updates and functionality, which can be summarized below: Inclusion of USDA Soil Classification Data, accessed by: data(USDA) Creation of New geometries for ternary errorbars, ie, geom_errorbarT, geom_errorbarL and geom_errorbarR Creation ... [Read more...]

Know India through Visualisations – 1

February 1, 2014 | steadyfish

I'm going to produce just a couple of charts, a teaser of sorts in this post. In the forthcoming posts I'll dig deeper.I was amazed with the existing list of R packages to work with spatial data, without needing to get into much of the technical detail...
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An idiot learns Bayesian analysis: Part 2

February 1, 2014 | PirateGrunt

A week ago, I wrote a bit about my personal journey to come to grips with Bayesian inference. I referred to the epiphany that when we're talking about Bayesian analysis, what we're talking about- in a tangible way- is using and modifying multivariate distributions. This reminds me of the moment, ... [Read more...]

Introduction

February 1, 2014 | steadyfish

Through this blog I intend to work on some data analysis projects, publish the results here and get feedback from other data experts. I have exposure to R, Python, MATLAB and would be using suitable one of them based on needs. My interests range from W... [Read more...]

Bad Bayes: an example of why you need hold-out testing

February 1, 2014 | John Mount

We demonstrate a dataset that causes many good machine learning algorithms to horribly overfit. The example is designed to imitate a common situation found in predictive analytic natural language processing. In this type of application you are often building a model using many rare text features. The rare text features ... [Read more...]
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