Mango Solutions are pleased to announce the forthcoming R user Group meetings that they will be hosting or participating in.  To attend, please see the registration [Read more...]

Let's play around a bit more with the dataset we built in Part 1 of this series.Now we are going to compare data from more championships in Europe.Let's check out the first divisions from the following countries:- Germany (1. Bundesliga)- England (Premier League)- Spain (Primera División)... [Read more...]

I really enjoy using the DW-NOMINATE data for examples, as I do here. Sometimes it’s useful to indicate regions in the background of a plot — perhaps two-dimensional regions of interest, perhaps one-dimensional periods in time. It’s... [Read more...]

The other day I learnt about the existance of the colors() vector in R which specifies all the character-based colors like “light blue”, “black”, etc. So I made a simple plot to visualize them all. Here’s the code: mat [Read more...]

Today I want to show a simple example of how we can value a company using Discounted Cash Flow (DCF) analysis. The idea is to compute the company’s Intrinsic Value based on the discounted future cash-flows. To compute future cash-flows I will use the historical Free Cash Flow growth ... [Read more...]

I have been thinking a lot about how to define and discuss competition at the undergraduate level.   I will save the chat on which dataset is better (ASQ, Student Clearinghouse, social media, etc.) for another day. One common question I get as an analyst in Enrollment Management is how to “... [Read more...]

The chart below comes by way of the is.R blog and shows the average ideology of the members of the United State House of Representatives within the Republican (red) and Democratic (blue) parties. (Other parties are shown in green.) The chart is shown as a time series, from the ... [Read more...]

A typical step in a lot of data mining methods is the calculation of a distance between entities. For example using the nearest-neighbor method it is crucial to do this calculation very efficiently because it is the most time-consuming step of the procedure. Just imagine you want to compute the ... [Read more...]

Similar to last year, I am giving a series of lectures on simulation jointly as a Master course in Paris-Dauphine and as a 3rd year course in ENSAE. The course borrows from both the books Monte Carlo Statistical Methods and from Introduction to Monte Carlo Methods with R, with George ... [Read more...]

Alright, now we have all the data we need in one dataframe. To make this code work, I assume you ran the code from Part 1. We need the dataframe big.tab.All the data presented here is based on the data from 18/10/2012. You can run an analysis with the actual ... [Read more...]

Teams with more money always win, right? At least they have a bigger chance of having success in their national championship. Let's look into that...NOTE: If you are not interested in the details of programming with R or getting data from the internet with it, you want to skip ... [Read more...]

This is a talk I gave this week in Advanced Biostatistics at McGill. The goal was to provide an gentle introduction to Bayesian methodology and to demonstrate how it is used for inference and prediction. There is a link to an accompanying R script in the slides [Read more...]

Sometimes, people want to plot things in three dimensions. Others have spoken more eloquently than I could on the potential problems with plotting multiple two-dimensional relationships in a two-dimensional medium with an artificial three-dimensional ... [Read more...]

Spatial microsimulation is a method where we construct small area population data from the combination of various data sources. In order to perform this combination of census and survey data, we need an R library to standardize the procedure. I’ve recently developed “sms” R library which combines census and ... [Read more...]

This article provide a brief background about power and sample size analysis. Then, power and sample size analysis is computed for the Z test. Continue reading → [Read more...]

In Part I, I described how you can deploy your Rook applications with rApache. This post describes how you can do it with R itself. But before we get into that, I’d like to explain the off-again on-again relationship Rook has had with CRAN, R’s package archive network. ... [Read more...]

I was fooling around with including a p-value and R2 value on a plot I was putting together, and found myself quickly descending into the world of R graphics esoterica. I wanted to be able to include the values on the fly using values extracted from a ... [Read more...]

In a webinar today previewing Spotfire 5 (scheduled for release this November), TIBCO announced that it will include TERR: The Tibco Enterprise Runtime for R. TERR is a closed-source reimplementation of the R language engine, and not based on the GPL-licensed R project from the R Foundation. Here's the relevant slide ... [Read more...]

A common task using R is the investigation of one particular dataset. Usually we have a mixture of numerical and categorial data and are interested in some statistics (e.g. means and so on). And there are a lot of threads, blogs etc around that. Sorry for adding another one, ... [Read more...]

To many people, R is like the Everglades. They’ve heard of it, they know it’s big and has amazing treasures deep inside. Articles in the media can make it look irresistible. But after a personal or even second hand experience …  &#16... [Read more...]