# Monthly Archives: October 2009

## GenEstim : A simple genetic algorithm for parameters estimation

October 18, 2009
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The GenEstim function presented here uses a very simple genetic algorithm to estimate parameters. The function returns the best estimated set of parameters ($estim), the AIC ($information) at each generation, and the cost of the best model (\$bestcost) at each generation. Results of running the program with a logistic function : Logis = function(x,p) p]/(1+p]*exp(-p]*x))

## Dianne Reeves: Strings Attached at the CSO

October 16, 2009
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Another trio concert at CSO, but very different from the most recent classic piano trio. Tonight was once again a chance to see Dianne Reeves (wikipedia) but this time accompanied simply by two guitarists: Russell Malone and Romero Lubambo (wikipedia). Given that Dianne Reeves (who we had seen in just a few month earlier in our neighbourgood) has plenty of stage...

## Software for Surviving Graduate School Part 1

October 16, 2009
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After introducing a colleague to the wonders of Dropbox today (more on that later) I realized that it might be useful to put out a list of software that is of use to graduate students. I often find that many of the software products I find indispensable are virtually unknown to many of my fellow graduate students. Certainly this...

## Use R 2009 Conference

October 16, 2009
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I did not attend the conference this year, but just read through the presentations. There is some overlap with other R-related conferences, such as R in Finance or the Rmetrics workshop. http://www.agrocampus-ouest.fr/math/useR-2009/ http://www.rinfina...

## The optimal way to do sweave

October 16, 2009
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The optimal way to do sweave may be to have a master file in LaTeX, and a separate Rnw file contains all the computations, figures, and tables. That way, it is easy to compile the LaTeX as the writing goes on without the hassle of carrying out the comp...

## Filled contour with log-log scale

October 15, 2009
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A quick workaround to have a filled.contour plot with natural log10-log10 scale (instead of the default natural log scale) plotmat <- function(mat,main='',factor='M',MeasuredResponse='Coexistence') { X <- as.numeric(rownames(mat)) Y <- as.numeric(colnames(mat)) if(factor=='C') { Y <- Y/0.16 } rownames(mat) <- as.numeric(X) colnames(mat) <- as.numeric(Y) colorFun <- colorRampPalette(c("black","darkblue","blue","green", "orange",'yellow',"red","darkred",'white')) lX <- log(X, 10) lY <- log(Y, 10) pretty.X.at <-

## Comprehensive Change Detection Suite: Free & Available

October 15, 2009
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October 2009 Open Data Group has launched a changed detection project on Google Code, http://code.google.com/p/change-detection/. This is an introduction and demonstration of using open source software and the Data Mining Group’s Predictive Model Markup Language (PMML) standard to perform data analytics.  Specifically, we show how using multiple Baseline models over segments can be used to detect of

## “I’m a Republican because…”, visualized with R

October 15, 2009
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Visualizing user-generated statements from GOP.com to the theme of "I'm a Republican because...", using R.

## R Tutorial Series: Introduction to The R Project for Statistical Computing (Part 2)

October 15, 2009
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Welcome to part two of the Introduction to The R Project for Statistical Computing tutorial. If you missed part one, it can be found here. In this segment, we will explore the following topics.Importing DataVariablesWorkspace FilesConsole FilesFinding ...