1193 search results for "tutorial"

Building a Simple Web App using R

November 13, 2012
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Building a Simple Web App using R

I’ve been interested in building a web app using R for a while, but never put any time into it until I was informed of the Shiny package.  It looked too easy, so I absolutely had to try it out. First you need to install the package from the command line . options(repos=c(RStudio="http://rstudio.org/_packages", getOption("repos"))) install.packages("shiny")

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Trees with the rpart package

November 13, 2012
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Trees with the rpart package

What are trees? Trees (also called decision trees, recursive partitioning) are a simple yet powerful tool in predictive statistics. The idea is to split the covariable space into many partitions and to fit a constant model of the response variable in each partition. In case of regression, the mean...

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RStudio releases Shiny

November 12, 2012
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RStudio has released a new package for R. Shiny allows R developers to build simple interactive Web-based interfaces for R scripts, using only R code (no JavaScript development required!). You can see some examples of Shiny in action in this blog post, and there are more details about Shiny's capabilities in this tutorial. Shiny was first announced to beta...

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Using R — Callling C code with Rcpp

November 12, 2012
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This entry is part 12 of 12 in the series Using RIn two previous posts we described how R can call C code with .C() and the more complex yet more robust option of calling C code with .Call().  Here …   read more ...

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Using R — .Call(“hello”)

November 9, 2012
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This entry is part 10 of 12 in the series Using RIn an introductory post on R APIs to C code, Calling C Code ‘Hello World!’, we explored the .C() function with some ‘Hello World!’ baby steps.  In this post …   read more ...

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Introducing Shiny: Easy web applications in R

November 8, 2012
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Introducing Shiny: Easy web applications in R

Say hello to Shiny, a new R package that we’re releasing for public beta testing today. Shiny makes it super simple for R users to turn analyses into interactive web applications that anyone can use. These applications let you specify input parameters using friendly controls like sliders, drop-downs, and text fields; and they can easily

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Using R — Calling C Code ‘Hello World!’

November 6, 2012
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This entry is part 6 of 11 in the series Using ROne of the reasons that R has so much functionality is that people have incorporated a lot of academic code written in C, C++, Fortran and Java into various …   read more ...

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analyze the national survey on drug use and health (nsduh) with r

November 6, 2012
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the national survey on drug use and health (nsduh) monitors illicit drug, alcohol, and tobacco use with more detail than any other survey out there.  if you wanna know the average age at first chewing tobacco dip, the prevalence of needle-sharing,...

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R among TechCrunch’s 5 Trendy Open-Source Techs for Big Data

October 30, 2012
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Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are: Storm and Kafka (for processing stream data) Drill and Dremel (for ad-hoc queries of big data) R (for data science with big data) Gremlin and Giraph (for graph...

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analyze the national health and nutrition examination survey (nhanes) with r

October 30, 2012
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nhanes is this fascinating survey where doctors and dentists accompany survey interviewers in a little mobile medical center that drives around the country.  while the survey folks are interviewing people, the medical professionals administer labo...

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