533 search results for "Knitr"

From Markdown to LaTeX output using RMarkdown.

January 28, 2015
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From Markdown to LaTeX output using RMarkdown.

I’ve been working on the ggRandomForests vignettes pretty consistently now. I’m writing the randomForestSRC-Survival vignette in LaTeX with the knitr vignette engine. I wrote the the randomForestSRC-Regression vignette in markdown. I’ve decided to upload the Regression vignette to arXiv for… Continue reading →

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Harvesting Canadian climate data

January 14, 2015
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Harvesting Canadian climate data

In December I found myself helping one of our graduate students with a data problem; for one of their thesis chapters they needed a lot of hourly climate data for a handful of stations around Saksatchewan. All of this data was and is available for download from the Government of Canada’s website, but with one catch; you had to...

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Simulated Annealing Feature Selection

January 12, 2015
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Simulated Annealing Feature Selection

As previously mentioned, caret has two new feature selection routines based on genetic algorithms (GA) and simulated annealing (SA). The help pages for the two new functions give a detailed account of the options, syntax etc. The package already has functions to conduct feature selection using simple filters as well as recursive feature elimination (RFE). RFE...

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Interactive visualizations with R – a minireview

January 9, 2015
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Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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WrightMap: Multifaceted models

January 7, 2015
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WrightMap: Multifaceted models

We received an email from a user who was interested in displaying results from a multifaceted model in WrightMap. In the WrightMap manual, we show how to use multifaceted results from ConQuest: fpath <- system.file("extdata", package = "WrightMap") model4 <- CQmodel(file.path(fpath, "ex4a.mle"), file.path(fpath, "ex4a.shw")) wrightMap(model4, item.table = "rater", interactions = "rater*topic", step.table = "topic") (See this tutorial for more details.) But...

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2014 highlight: Statistical Learning course by Hastie & Tibshirani

January 1, 2015
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2014 highlight: Statistical Learning course by Hastie & Tibshirani

What I like most about the R and Python developer and user communities, is their incredible openness and generosity. One of the finest examples in the past year was the online course “Statistical Learning” taught by Stanford professors Trevor Hastie and Rob Tibshirani. In this MOOC they explain very understandably (even

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DataVis with Plot.ly (@plotlygraphs) – Meetup Summary

December 30, 2014
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It pains me to admit it, but even though I had visited their site, created...

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[NYC] Featured R experts Meetup, R classes and 12 week Data Science Bootcamp

December 28, 2014
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[NYC] Featured R experts Meetup, R classes and 12 week Data Science Bootcamp

There are a few exciting announcements I would love to share with R community. We feel very honored to host meetup and class offered by Kaggle #1 ranked Data Scientist, Owen Zhang and book author of Applied predictive modeling, Max Kuhn. Featured R experts meetup Featured talk given by Kaggle world ranked #1 Owen Zhang

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Snowdoop/partools Update

December 27, 2014
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Snowdoop/partools Update

I’ve put together an updated version of my partools package, including Snowdoop, an alternative to MapReduce algorithms.  You can download it here, version 1.0.1. To review:  The idea of Snowdoop is to create your own file chunking, rather than having something like Hadoop do it for you, and then using ordinary R coding to perform … Continue reading...

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Create an R-tree data structure using Rcpp and Boost::Geometry

December 26, 2014
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Create an R-tree data structure using Rcpp and Boost::Geometry

Introduction The purpose of this post is to show how to use Boost::Geometry library which was introduced recently in Rcpp. Especially, we focus on R-tree data structure for searching objects in space because only one spatial index is implemented - R-tree Currently in this library. Boost.Geometry which is part of the Boost C++ Libraries gives us algorithms for solving geometry problems. In this library, the...

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