Posts Tagged ‘ tutorial ’

ARMA Models for Trading

August 21, 2012
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ARMA Models for Trading

In this tutorial I am going to share my R&D and trading experience using the well-known from statistics Autoregressive Moving Average Model (ARMA). There is a lot written about these models, however, I strongly recommend Introductory Time Series with R, which I find is a perfect combination between light theoretical background and practical implementations in

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unsupervised classification of a raster in R: the layer-stack or part one.

July 29, 2012
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unsupervised classification of a raster in R: the layer-stack or part one.

In my last post I was explaining the usage of QGis to do a layerstack of a Landsat-scene. Due to the fact that further research and trying out resulted in frustration I decided to stick with a software I know well: R. So download the needed layers here and open up your flavoured version of

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introduction to R: learning by doing (part 2: plots)

July 10, 2012
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introduction to R: learning by doing (part 2: plots)

Lets go one with the second part of learning R by doing R (you will find the first part here. As we have used vectors, matrices and loops in the first part, we will concentrate on graphics in this one. but first we will need data to plot: Sometimes you will need several plots in

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introduction to R: learning by doing (part 1)

July 9, 2012
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introduction to R: learning by doing (part 1)

Geography is often about statistics as it is the basis for fast exchange of information: providing a mean and standard deviation to the audience is often much easier then showing raw data: Learning a script language for this purpose can be a hard-ass work. But I think it is more often a need of practice.

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reproducible documents/analytics in R: the knitr package

June 26, 2012
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reproducible documents/analytics in R: the knitr package

When I am working in new institutions and I am asking: “Do you have a document management system?” I often get the answer:”Yap, we are using folders” … OKAY. Making analysis, developing applications and keeping an eye on code, data and applications make this even harder as it has to be. Of course not many

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Actuarial models with R, Meielisalp

June 23, 2012
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Actuarial models with R, Meielisalp

I will be giving a short course in Switzerland next week, at the 6th R/Rmetrics Meielisalp Workshop & Summer School on Computational Finance and Financial Engineering organized by ETH Zürich, https://www.rmetrics.org/. The long...

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Choosing colour palettes. Part I: Introduction

May 29, 2012
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Choosing colour palettes. Part I: Introduction

In this series of three posts, we’ll look at colours in R graphics produced with ggplot2: what are the available choices of colour schemes, and how to choose a colour palette most suitable for a particular graphic? In kindergarten, choosing a co...

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Adding watermarks to plots

May 22, 2012
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Adding watermarks to plots

A question was raised today on the mailing list: Is there an easy way to add a watermark to a ggplot? There are several options, depending on the type of watermark and the required level of control over the output, add a text label using annotate (th...

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useR! 2012 Conference

April 25, 2012
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“Spatial data is, quite literally, everwhere” (Barry Rowlingson) this is so true! And because of that you guys will have the chance to take part in a great tutroial on using R for managing geospatial data, transforming, making maps and working with OGC standards. So visit this years useR! conference at Vanderbilt University; Nashville, Tennessee,

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A Direct Marketing In-flight Forecasting System

February 29, 2012
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A Direct Marketing In-flight Forecasting System

This is an edited version of A Direct Marketing In-flight Forecasting System. The original article was written by Shannon Terry and Ben Ogorekm, Nationwide Insurrance, in order to enter the “Applications of R in Business” contest organised by Revolution Analytics. This is the winning entry of the contest. I added some notes in the third

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