Today, let us have a look at movies. The Internet Movie Database (IMDb) has some data dumps available on their website. It's a subset of the information available on the IMDb site, but it's more than enough. I will spare you my code to convert these da... [Read more...]

Welcome to the second part of the series on predicting user’s revisit to the website. In my earlier blog Logistic Regression with R, I discussed what is logistic regression. In the first part of the series, we applied logistic regression to available data set. The problem statement there was ... [Read more...]

In my earlier blog, I have discussed about what is logistic regression? And how logistic model is generated in R? Now we will apply that learning on a specific problem of prediction. In this post, I will create a basic model to predict whether a user will return on website ... [Read more...]

Classes and objects in R Welcome back! In this blog post I'm going to try to tackle the concept of objects in R. R is said to be an “object oriented” language. I touched on this in my last post when we discussed the concatenate function c() and I'll go ... [Read more...]

Logistic Regression In my first blog post, I have explained about the what is regression? And how linear regression model is generated in R? In this post, I will explain what is logistic regression? And how the logistic regression model is generated in R? Let’s first understand logistic regression. ... [Read more...]

Hadley Wickham, creator of the ggplot2 R package, has been learning JavaScript and its D3 library for the next iteration of ggplot2 (tentatively titled r2d3?)… so I suspect it’s only a matter of time before he pulls the rest of the … Continue reading → [Read more...]

Timelines can be quite a handy way of getting an overview of a player’s career in terms of when they played, with which team and who were their contemporaries As often is the case, I turned to Stackoverflow to set me on my way for an R solution. In ... [Read more...]

Xavier Fernández i Marín, who maintains the jags package on Gentoo Linux, writes to tell me he is developing the R package ggmcmc. This package is for visualizing Markov Chain Monte Carlo output using ggplot2 graphics and  should complement the … Continue reading → [Read more...]

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Many of the sites I linked to in the previous post have articles or papers on momentum investing that investigate the typical ranking factors; 3, 6, 9, and 12 month returns. Most (not all) of the articles seek to find which is the “best” look-back period to rank the assets. Say that the outcome ... [Read more...]

On October 14, the weekend edition of Le Monde had the following puzzle: consider four boxes that contain all integers between 1 and 9999, in such a way that for any N, N, 2N, 3N, and 4N are in four different boxes. If 1,2,3 and 4 are in boxes labelled 1,2,3 and 4, respectively, in [...] [Read more...]

Continuing the summary of last week’s symposium on statistics and data visualization (see part 1 and part 3)… Here I describe Dianne Cook’s discussion of visual inference, and Rob Kass’ talk on statistics in cognitive neuroscience. [Edit: I've added a few … Continue reading → [Read more...]

I was creating a dataset this last week in which I had to partition the observed responses to show how the ANOVA model partitions the variability. I had the observed Y (in this case prices for 113 bottles of wine), … Continue reading → [Read more...]

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CALL FOR PAPERS DMApps 2013: the International Workshop on Data Mining Applications in Industry & Government In conjunction with PAKDD 2013, Gold Coast, Australia, April 14-17, 2013 http://dmapps2013.rdatamining.com The 2013 International Workshop on Data Mining Applications in Industry & Government … Continue reading → [Read more...]

I recently posted the slides from a guest lecture that I gave on Bayesian methods for biologists/ecologist. In an effort to promote active learning, the class was not a straight forward lecture, but rather a combination of informational input from me and opportunities for students to engage with the ... [Read more...]

In business "Correlation" is generically used as a mutual relationship or connection between two or more things; statistically speaking correlation is the interdependence of variable quantities. I overhear many end users request information on the correlation of variables for prediction use, what they are referring to is actually simple linear ... [Read more...]

The population of the world has been over 7 billion for about a year now. But those seven billion aren't distributed equally around the globe. 1.2 billion people — about in India alone (despite it havingjust 2% of the world's land area). At the other end of the spectrum, the entire continent of Australia ... [Read more...]

Background:Hello Friends, hope all of you are doing just great.  I decided to create my footprint in the blog space, it comes from my desire to share few very basic steps of text mining, with all of you.  I am neither a nerd, or statistician or an established data ... [Read more...]

In D-RUG today, Stella Copeland gave a quick introduction to mixed models in R. Here’s the script that she presented: Get the data file for this script here Stella also recommends this paper by Ben Bolker as a quick introduction to the topic. [Read more...]