# 165 search results for "iris"

## Package party: Conditional Inference Trees

May 21, 2013
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I am going to be using the party package for one of my projects, so I spent some time today familiarising myself with it. The details of the package are described in Hothorn, T., Hornik, K., & Zeileis, A. (1999). “party: A Laboratory for Recursive Partytioning” which is available from CRAN. The main workhorse of

May 18, 2013
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## Editing/Adding factor levels in R

April 29, 2013
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I was trying to change few levels in my factor variable by simply coercing characters on that factor variable but it dint seem to work. data(iris)iris$Species <- rep("Random", 71) ## Warning: invalid factor level, NAs generated iris$Species ## setosa ...

## Highlight cells in markdown tables

April 10, 2013
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Although I have always wanted to add such feature to pander, a recent question on SO urged me to create some helper functions so that users could easily highlight some rows, columns or even just a few cells in a table and export the result to markdown,...

## Massive online data stream mining with R

A few weeks ago, the stream package has been released on CRAN. It allows to do real time analytics on data streams. This can be very usefull if you are working with large datasets which are already hard to put in RAM completely, let alone to build some statistical model on it without getting into RAM problems. Most of...

## Review of Mathematica 9 and R-link

March 18, 2013
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VIDEO TRANSCRIPT: Hello, this is Matt Asher from StatisticsBlog.com. I’m going to be reviewing Mathematica 9, from Wolfram Research. In particular, I’ll be focusing on using it with R and to do Monte Carlo simulations and other statistical work. You can find a full transcript of this video at my blog, including the source code

## Happy St Patrick’s Day

March 17, 2013
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I love Saint Patrick’s Day for, at least, two reasons. The first one is that, on March 17th, you can play out loud The Pogues, the second one is that it’s the only day in the year when I really enjoy getting a Guiness in a pub. And Guiness is important in statistical science (I did mention a couple...

## Visualizing neural networks from the nnet package

March 4, 2013
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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

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

February 18, 2013
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