Monthly Archives: August 2012

unsupervised classification of a Landsat image in R: the whole story or part two

August 1, 2012
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unsupervised classification of a Landsat image in R: the whole story or part two

The main question when using remote sensed raster data, as we do, is the question of NaN-treatment. Many R functions are able to use an option like rm.NaN=TRUE to treat these missing values. In our case the kmeans function in R is not capable to use such a parameter. After reading the tif-files and creating

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More on Horizon Charts

August 1, 2012
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More on Horizon Charts

for background please see prior posts Application of Horizon Plots, Horizon Plot Already Available, and Cubism Horizon Charts in R Some feedback has led me to think that I might have been a little ambitious with my last post on horizon charts. I though...

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Genetic algorithms: a simple R example

August 1, 2012
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Genetic algorithms: a simple R example

Genetic algorithm is a search heuristic. GAs can generate a vast number of possible model solutions and use these to evolve towards an approximation of the best solution of the model. Hereby it mimics evolution in nature. GA generates a population, the individuals in this population (often called chromosomes) have  Read more »

Analytics for Marketing online training 25 – 28 September 2012

August 1, 2012
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Analytics for Marketing online training 25 – 28 September 2012

I am excited to be giving the Analytics for Marketing online training course on 25-28 September 2012. Sign up before 25 August 2012 for the early bird discount. Our friends at Revolution Analytics who will provide the infrastructure to host the event. Update: For clarification, this is an online, instructor led training course. We are...

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Bio7 1.6 for Windows and Linux released!

August 1, 2012
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Bio7 1.6 for Windows and Linux released!

01.08.2012 Finally i released a new version of Bio7 with many improvements and new features. Updated tutorials are available, too. The new Bio7 1.6 release can be downloaded here. Please also download the examples *.zip file from the sourceforge website which contains new examples for Bio7 1.6 (e.g. an example to cluster an image folder with

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Hadley Wickham’s ggplot2 basics

August 1, 2012
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If you haven't made the plunge yet to making R graphics with Hadley Wickham's ggplot2 package, his "ggplot2 basics" slides (from the recent Introduction to Data Visualization and Analysis course at JSM) is a good place to start. Once you get the hang of the "grammar of graphics" notation, you'll be building beautiful data visualizations like this or this...

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Creating a text grob that automatically adjusts to viewport size

August 1, 2012
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Creating a text grob that automatically adjusts to viewport size

I recently wanted to construe a dashboard widget that contains some text and other elements using the grid graphics system. The size available for the widget will vary. When the sizes for the elements of the grobs in the widget are specified as Normalised Parent Coordinates the size adjustments happen automatically. Text does not automatically adjust though. The

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Olympic body match and 1:1 BMI

August 1, 2012
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Olympic body match and 1:1 BMI

In my morning attempt to read the whole internet before beginning work, I came across a program on the BBC website which allows you to see which Olympic athletes are your body doubles. Or rather, which athletes share your height and weight, and therefore your body mass index. Being a Canadian, I exist in an

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Building a presentation, report or paper in R

August 1, 2012
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If you need to build a presentation, obviously you have following options: Powerpoint alike presentation Online engines LaTex The first two are beloved by business people and the third one is widely used in academia. The objective of the first group is shiny presentation, contrary to the second where asceticism and demand for automation are

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Examples of profiling R code

August 1, 2012
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Examples of profiling R code

by Yanchang Zhao, RDataMining.com Below are simple examples of profiling R code, which help to find out which steps or functions are most time consuming. It is very useful for improving efficiency of R code. # profiling of running time … Continue reading →

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