Monthly Archives: January 2013

Simulation of landmine clearing with Massoud Hassani’s Mine Kafon

January 10, 2013
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Simulation of landmine clearing with Massoud Hassani’s Mine Kafon

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 out the video. Hassani’s device looks like this: It’s a

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My Personal Intro to F1 Race Statistics

January 10, 2013
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My Personal Intro to F1 Race Statistics

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 with confidently combining probabilities. I find a

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Formulae in R: ANOVA and other models, mixed and fixed

January 10, 2013
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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 of packages for running ANOVA models that make things nicer

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R for actuarial science

January 10, 2013
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R for actuarial science

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 very versatile, the chief advantage of R is that...

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Stacked Bar Charts in R

January 10, 2013
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Stacked Bar Charts in R

Reshape Wide to LongLet's use the Loblolly dataset from the datasets package. These data track the growth of some loblolly pine trees.> Loblolly   height age Seed1    4.51   3  30115  10.89   ...

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Vector fields with streamlines

January 10, 2013
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Vector fields with streamlines

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

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Install R in Ubuntu 12.04 Precise Pangolin

January 10, 2013
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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 idea of the Sweave is to combine data analysis code...

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Lomb-Scargle periodogram for unevenly sampled time series

January 10, 2013
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Lomb-Scargle periodogram for unevenly sampled time series

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...

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Lomb-Scargle periodogram for unevenly sampled time series

January 10, 2013
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Lomb-Scargle periodogram for unevenly sampled time series

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 of interpolation to fill in gaps. An alternative is the Lomb-Scargle method (or...

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Optimizing parameters for an oscillator – Video

January 10, 2013
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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 Schönbrodt on Vimeo. More on estimating

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