47 search results for "rattle"

Extracting Latent Variables from Rating Scales: Factor Analysis vs. Nonnegative Matrix Factorization

August 21, 2014
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Extracting Latent Variables from Rating Scales: Factor Analysis vs. Nonnegative Matrix Factorization

For many of us, factor analysis provides a gateway to learning how to run and interpret nonnegative matrix factorization (NMF). This post will analyze a set of ratings on a 218 item adjective checklist using both principal axis factor analysis and NMF....

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R Training for SAS users in Singapore and online

March 28, 2014
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Revolution Analytics has just introduced a 10-module series of R courses in Singapore. If you'd like to learn how to do data analysis in R, already know data analysis in another language like SAS and want to transition to R, or just want to enhance your R skills in a specific area, one of these hands-on courses may be...

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MOOCs and courses to learn R

March 14, 2014
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Inspired by this article i thought about gather here all multimedia resources that i know to learn use R. Today The post MOOCs and courses to learn R appeared first on Flavio Barros .

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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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Upcoming NYC R Programming Classes

March 10, 2014
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Upcoming NYC R Programming Classes

It is our pleasure to once again offer the intensive R beginner level course for the third time! Beginning this Sunday, the 35 hour course will walk you through the basic operations and characteristics of R, all the way to having a firm understanding of data manipulation and visualization. Also launching this weekend are two... Read more »

A survival guide to Data Science with R, from Graham Williams

February 21, 2014
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Graham Williams is the Lead Data Scientist at the Australian Taxation Office, and the creator of Rattle, an open-source GUI for data mining with R. (Check out some recent reviews/demos of Rattle on this blog here and here.) Dr Williams continues his many contributions to the R community with One Page R, a "Survival Guide to Data Science with...

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MCMSki IV [mistakes and regrets]

January 12, 2014
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MCMSki IV [mistakes and regrets]

Now that the conference and the Bayesian non-parametric satellite workshop (thanks to Judith!) are over, with (almost) everyone back home, and that the post-partum conference blues settles in (!), I can reflect on how things ran for those meetings and what I could have done to improve them… (Not yet considering to propose a second

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NYC R Programming Classes – starting this coming Sunday

November 5, 2013
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NYC R Programming Classes – starting this coming Sunday

Guest post by Vivian Zhang, original post. You can sign up for our Sunday Intensive beginner level R classes at NYC Data Science Academy meetup page or [email protected] more info. Brief: The course (which will meet five Sundays) will start from the basics, introducing the building blocks used for programming in R and building intuition for writing clean and robust code....

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Big Data Sets you can use with R

August 22, 2013
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Big Data Sets you can use with R

by Joseph Rickert The world may indeed be awash with data, however, it is not always easy to find a suitable data set when you need one. As the number of people becoming involved with R and data science increases so does the need for interesting data sets for creating examples, showcasing machine learning algorithms and developing statistical analyses....

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K-means Clustering (from “R in Action”)

August 7, 2013
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K-means Clustering (from “R in Action”)

In R’s partitioning approach, observations are divided into K groups and reshuffled to form the most cohesive clusters possible according to a given criterion. There are two methods—K-means and partitioning around mediods (PAM). In this article, based on chapter 16 of R in Action, Second Edition, author Rob Kabacoff discusses K-means clustering. Read more »

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