168 search results for "iris"

Visualizing neural networks from the nnet package

March 4, 2013
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Visualizing neural networks from the nnet package

Neural networks have received a lot of attention for their abilities to ‘learn’ relationships among variables. They represent an innovative technique for model fitting that doesn’t rely on conventional assumptions necessary for standard models and they can also quite effectively handle multivariate response data. A neural network model is very similar to a non-linear regression

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Saving R Objects in Oracle Database using Oracle R Enterprise 1.3 Datastore

February 18, 2013
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Saving R Objects in Oracle Database using Oracle R Enterprise 1.3 Datastore

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A Review of the R Graphics Cookbook

February 11, 2013
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A Review of the R Graphics Cookbook

A common criticism of R, especially from data scientists who are new to R but proficient in multiple programming languages, is that R is “quirky” and annoying because there is almost always more than one way to do simple things. I usually counter that they are trying to say that R is “flexible” and “rich”, but by the time...

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2011 Census Open Atlas Project

February 5, 2013
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2011 Census Open Atlas Project

This month has seen the release of the 2011  census data for England and Wales at Output Area Level. This offers the possibility to map various attributes about people and places for very small geographic areas. Output Areas represent the most detailed geography for which Census data are released and are the building blocks for

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2011 Census Open Atlas Project

February 5, 2013
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2011 Census Open Atlas Project

This month has seen the release of the 2011  census data for England and Wales at Output Area Level. This offers the possibility to map various attributes about people and places for very small geographic areas. Output Areas represent the most detailed geography for which Census data are released and are the building blocks for many popular products...

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Generating Labels for Supervised Text Classification using CAT and R

February 4, 2013
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Generating Labels for Supervised Text Classification using CAT and R

The explosion in the availability of text has opened new opportunities to exploit text as data for research. As Justin Grimmer and Brandon Stewart discuss in the above paper, there are a number of approaches to reducing human text to … Continue reading →

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Tracking down errors in R

January 29, 2013
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It's that moment we all know and love, somewhere in our code something has gone wrong. We think we have done everything right, but instead of expected glory we find only terse red text lain below our lintel. This can be very frustrating, and trouble shooting these issues can often be very time consuming. All is not lost. There are a...

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European Migration

January 13, 2013
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European Migration

Last week on the radio I heard a story of southern Europeans and Irish looking for better times in northern Europe. I heard the tale of an Italian academic who left Italy to end up waiting tables in an Italian restaurant in the Netherlands. Obviously t...

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R code and data for book “R and Data Mining: Examples and Case Studies”

January 2, 2013
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R code and data for book “R and Data Mining: Examples and Case Studies”

R code and data for book “R and Data Mining: Examples and Case Studies” are now available at http://www.rdatamining.com/books/rdm/code. An online PDF version of the book (the first 11  chapters only) can also be downloaded at http://www.rdatamining.com/docs. Below are its … Continue reading →

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My Intro to Multiple Classification with Random Forests, Conditional Inference Trees, and Linear Discriminant Analysis

December 27, 2012
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My Intro to Multiple Classification with Random Forests, Conditional Inference Trees, and Linear Discriminant Analysis

After the work I did for my last post, I wanted to practice doing multiple classification.  I first thought of using the famous iris dataset, but felt that was a little boring.  Ideally, I wanted to look for a practice … Continue reading →

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