In two weeks (on January 24), Think Big Analytics' Jeffrey Breen will present a new webinar on using R with Hadoop. Here's the webinar description: R and Hadoop are changing the way organizations manage and utilize big data. Think Big Analytics and Revolution Analytics are helping clients plan, build, test and ... [Read more...]

Code used: MineClearingSimulationWithKafons.r TRANSCRIPT OF VIDEO: Hello, I’m Matt Asher with StatisticsBlog.com. This video is about my attempt to simulate a landmine clearing device built by Massoud Hassani called the Mine Kafon. I’ve put a link to his webpage at StatisticsBlog.com, I highly recommend checking ... [Read more...]

One of the many things I keep avoiding is statistics. I’ve never really been convinced about the 5% significance level thing; as far as I can tell, hardly anything that’s interesting normally distributes; all the counting that’s involved just confuses me; and I never really got to grips ... [Read more...]

R’s formula interface is sweet but sometimes confusing. ANOVA is seldom sweet and almost always confusing. And random (a.k.a. mixed) versus fixed effects decisions seem to hurt peoples’ heads too. So, let’s dive into the intersection of these three. I’m aware that there are lots ... [Read more...]

As mentioned in the Appendix of Modern Actuarial Risk Theory, “R (and S) is the ‘lingua franca’ of data analysis and statistical computing, used in academia, climate research, computer science, bioinformatics, pharmaceutical industry, customer analytics, data mining, finance and by some insurers. Apart from being stable, fast, always up-to-date and ... [Read more...]

Reshape Wide to LongLet's use the Loblolly dataset from the datasets package. These data track the growth of some loblolly pine trees.__ Loblolly[1:10,]   height age Seed1    4.51   3  30115  10.89   ... [Read more...]

A new version of rasterVis is available at CRAN. This version includes several bug fixes and a new method to …Continuar leyendo » [Read more...]

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. One of my main motivations to install R is Sweave. The Sweave is a literate programming language which integrates LaTeX and R code. The main ... [Read more...]

In the natural sciences, it is common to have incomplete or unevenly sampled time series for a given variable. Determining cycles in such series is not directly possible with methods such as Fast Fourier Transform (FFT) and may require some degree o... [Read more...]

Here’s a video how the modFit function from the FME package optimizes parameters for an oscillation. A Nelder-Mead-optimizer (R function optim) finds the best fitting parameters for an undampened oscillator. Minimum was found after 72 iterations, true parameter eta was -.05: Evolution of parameters in optimization process from Felix Schö... [Read more...]

Yesterday’s post started to explore the nice additions which the new C++11 standard is bringing to the language. One particularly interesting feature are lambda functions which resemble the anonymous functions R programmers have enjoyed all along... [Read more...]

One issue I continuously encounter when starting to work with a new dataset is that of the codebook. In general, I prefer to load a codebook into R like any other data source, specifically as a data frame. And ideally, one data frame to provides the variable names with descriptions ... [Read more...]

In the introductory post of this series I showed how to plot empty maps in R. Today I'll begin to show how to add data to R maps. The topic of this post is the visualization of data points on … Continue reading → [Read more...]

The inspiration for this post came as I was browsing texts and articles about USA’s GDP and I wondered what might have a positive relationship to GDP that would be interesting to graph and explore. I stumbled upon two datasets: US States by Educational Attainment and US States by ... [Read more...]

The go-to bible for this data scientist and many others is The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. Each of the authors is an expert in machine learning / prediction, and in some cases invented the techniques we turn to ... [Read more...]

The site reddit told us about data on every single NFL (U.S. National Football League) play since 2002. We read it in and did an analysis of punting. The results are beautiful. The post Every NFL punt since 2002 appeared first on Decision Science News. [Read more...]

1. IntroductionThese notes give the steps to configure a Windows machine so that R can communicate with Microsoft Access databases. It turns out that the same mechanism can be used to connect with Microsoft Excel workbooks, so the notes include R to Excel communication as well. In R, there are two ... [Read more...]

At the time of the creation of this blog, Cronbach’s 1951 piece on coefficient alpha has 18,132 citations according to google scholar.  The main use of coefficient alpha is to assess internal consistency reliability of a test or survey.   Although it may have been forgotten, the proof Cronbach demonstrated established that ... [Read more...]

Factor Analysis of Baseball's Hall of Fame VotersRecently, Nate Silver wrote a post which analyzed how voters who voted for and against Barry Bonds for Baseball's Hall of Fame differed. Not surprisingly, those who voted for Bonds were more likely to vote for other suspected steroids users (like Roger Clemens). ... [Read more...]

A trackback from Martin Hawksey’s recent post on Analysing WordPress post velocity and momentum stats with Google Sheets (Spreadsheet), which demonstrates how to pull WordPress stats into a Google Spreadsheet and generates charts and reports therein, reminded me of the WordPress stats API. So here’s a quick function ... [Read more...]