Monthly Archives: February 2010

Python in Sweave document

February 8, 2010
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Table of contents Modifications to the custom driver: Example usage Lately I have been using a lot of Python for signal processing and I quite like SciPy. However, I have been missing something like Sweave, which is great literate programming environment for R. Today I managed to look a bit more into it and found this hack on how...

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Python in Sweave document

February 8, 2010
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Table of contents Modifications to the custom driver: Example usage Lately I have been using a lot of Python for signal processing and I quite like SciPy. However, I have been missing something like Sweave, which is great literate programming environment for R. Today I managed to look a bit more into it and found this hack on how...

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Spatial Analytics in R Video

February 8, 2010
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The video from John Myles White’s outstanding introductory talk on spatial analysis with R to the NYC R Statistical Meetup is now available in the R video repository, and is also embedded after the jump. I would like to thank John for this fantastic talk, and for those interested the slides from this talk have also been

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Registration open for R/Finance 2010

February 8, 2010
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Registrations are now open for the R/Finance 2010 conference, to be help April 16-17 in Chicago. Last year's meeting was a great success, and this year's looks to be just as good, with some great keynotes lined up: Analysis of Integrated and Co-integrated Time Series with R (Bernhard Pfaff) Leverage Space Portfolio Model (Ralph Vince) Signal Extraction (Marc Wildi0...

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Classification for stock directional prediction

February 8, 2010
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Classification for stock directional prediction

The neural network tutorial focused on a type of method known as regression. The other common method utilized in machine learning is called classification. The two approaches are somewhat similar in that they identify the best possible curve to learn...

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Regression Modeling Strategies Course by Frank Harrell

February 8, 2010
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Frank Harrell is teaching his 3-session short course on regression modeling strategies using R here at Vanderbilt next month. Frank is a professor and chair of the Vanderbilt Biostatistics Department, and the author of several massively popular R libra...

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R Tutorial Series: Basic Polynomial Regression

February 8, 2010
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R Tutorial Series: Basic Polynomial Regression

Often times, a scatterplot reveals a pattern that seems not so linear. Polynomial regression can be used to explore a predictor at different levels of curvilinearity. This tutorial will demonstrate how polynomial regression can be used in a hierarchical fashion to best represent a dataset in R.Tutorial FilesBefore we begin, you may want to download the sample...

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R Tutorial Series: Basic Polynomial Regression

February 8, 2010
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R Tutorial Series: Basic Polynomial Regression

Often times, a scatterplot reveals a pattern that seems not so linear. Polynomial regression can be used to explore a predictor at different levels of curvilinearity. This tutorial will demonstrate how polynomial regression can be used in a hierarchical fashion to best represent a dataset in R.Tutorial FilesBefore we begin, you may want to download the sample...

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Updated R code for Bayesian Core

February 8, 2010
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Updated R code for Bayesian Core

Simply to mention a minor change made in the prog4.R code for Bayesian Core. Nothing life-threatening, mind you!, just a term replacing a term… Filed under: Books, R, Statistics Tagged: Bayesian Core, R, R code, typo

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Practical Implementation of Neural Network based time series (stock) prediction -PART 5

February 7, 2010
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Practical Implementation of Neural Network based time series (stock) prediction  -PART 5

Following is an example of what it looks like to predict an actual univariate price series. The period of the signal that was sampled was already in stationary form, so not much massaging was needed other than normalization (described earlier).What's ...

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