507 search results for "knitr"

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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2014-12-31 15_11_12-Clipboard

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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htmlwidgets: JavaScript data visualization for R

December 18, 2014
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htmlwidgets: JavaScript data visualization for R

Today we’re excited to announce htmlwidgets, a new framework that brings the best of JavaScript data visualization libraries to R. There are already several packages that take advantage of the framework (leaflet, dygraphs, networkD3, DataTables, and rthreejs) with hopefully many more to come. An htmlwidget works just like an R plot except it produces an interactive web

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Interactive 2D & 3D Plots with Plotly and ggplot2

December 16, 2014
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Interactive 2D & 3D Plots with Plotly and ggplot2

by Matt Sundquist co-founder of Plotly R, Plotly, and ggplot2 let you make, share, and collaborate on beautiful, interactive plots online. Let's see what we can do with the topographic data from Auckland's Maunga Whau Volcano that comes with R. Copy and paste this R code to make your first plot. The basic idea is: use ggplot2 code, add...

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Don’t teach built-in plotting to beginners (teach ggplot2)

December 15, 2014
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Don’t teach built-in plotting to beginners (teach ggplot2)

I have some experience teaching R programming (see, for instance, my online course). One of the atypical choices I make is to start by teaching Hadley Wickham’s ggplot2 package, rather than the built-in R plotting (see these videos). Many times that I mention this choice to others involved in statistics education, they treat it like a mistake...

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Use hidden advanced arguments for user-friendly functions

December 10, 2014
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Use hidden advanced arguments for user-friendly functions

As a user Imagine that you are starting to learn how to use a specific R package, lets call it foo. You will look at the vignette (if there is one), use help(package = foo), or look at the reference manual (for example, devtools' ref man). Eventually, you will open the help page for the function(s) you are interested...

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