1819 search results for "Tutorial"

Build Web applications using Shiny R

March 19, 2014
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Build Web applications using Shiny R

Ever since I’ve started working on R , I always wondered how I can presentthe results of my statistical models as web applications. After doing someresearch over the internet I’ve come across – ShinyR – a new packagefrom RStudio which can be used to develop interactive web applications with R.Before going into how to build web apps...

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Learn to Manage Data at useR! 2014 or Online April 25

March 18, 2014
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Learn to Manage Data at useR! 2014 or Online April 25

Before you can analyze data, it must be in the right form. Join me on April 25th for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. We will work through hands-on examples of … Continue reading →

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Aggregation of point data to polygons MKII – US states

March 14, 2014
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Aggregation of point data to polygons MKII – US states

After a colleague of mine requested an illustration of the aggregation technique that was part of an introduction to spatial data in R, I decided to revisit aggregation. The first article I posted here on the subject used data from London; this one is slightly different, using Twitter data aggregated to the state level in the USA. All example code...

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Aggregation of point data to polygons MKII – US states

March 14, 2014
By
Aggregation of point data to polygons MKII – US states

After a colleague of mine requested an illustration of the aggregation technique that was part of an introduction to spatial data in R, I decided to revisit aggregation. The first article I posted here on the subject used data from London; this one is slightly different, using Twitter data aggregated to the state level in the USA. All example code...

Read more »

R Resources

March 13, 2014
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I am listing some useful R resources. I start with the following post on (free) R Books from R-bloggers.com. An R "Meta" Book by Joseph Rickerthttp://www.r-bloggers.com/an-r-meta-book/ This page lists some e-books or e-materials for various topics in statistics ranging from basis concepts of statistics to advanced methods such as survival analysis and time series analysis. On Experimental Design An R...

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Better handling of JSON data in R?

March 13, 2014
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What is the best way to read data in JSON format into R? Though really common for almost all modern online applications, JSON is not every R user's best friend. After seeing the slides for my Web Scraping course, in which I somewhat arbitrarily veered between using the packages rjson and RJSONIO, the creator of a...

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In case you missed it: February 2014 roundup

March 12, 2014
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In case you missed them, here are some articles from February of particular interest to R users: A statistical analysis of various forecasting methods (using R) leads to correct predictions for 21 of 24 Oscars awards. There are now 123 R User Groups worldwide, and applications for Revolution Analytics sponsorship grants are open until March 31. Revolution Analytics was...

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Using Google BigQuery with R

March 10, 2014
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Using Google BigQuery with R

Hey everybody, this tutorial is about combining two great and powerful tools: R and Google BigQuery. Big Query: So but what is BigQuery? I think Google describes it very well on the developers page: “Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by …

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Using APIs in Python: a quick example

March 4, 2014
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Using APIs in Python: a quick example

Python has an extremely intuitive and straightforward way of dealing with APIs, and makes it simple for people like you or me to access and retrieve information from databases. Before I quickly describe how to use APIs in Python, maybe we should begin with: What is an API? API (Application Programming Interface): An API is a software intermediary

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Emacs, ESS and R for Zombies

March 4, 2014
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Emacs, ESS and R for Zombies

by Rodney Sparapani, PhD Rodney is an Assistant Professor in the Institute for Health and Society from the Division of Biostatistics at the Medical College of Wisconsin in Milwaukee and president of the Milwaukee Chapter of the ASA which is hosting an R workshop on Data Mining in Milwaukee on April 4th. Emacs Speaks Statistics (ESS) is a GPL...

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