2134 search results for "regression"

What size will you be after you lose weight?

November 14, 2014
By
What size will you be after you lose weight?

REDDITORS’ BEFORE AND AFTER MEASUREMENTS ANALYZED Click to enlarge How many pounds do you need to lose in order to reduce your waistline by one inch? How many kilos do you need to lose to reduce your waistline by one centimeter? We wanted to find out. We were having trouble finding published data (though we The post

Read more »

Solutions on github

November 12, 2014
By

See this page. We're not done with them all but chapter 3 and 4 are there and the regression chapters are not too far behind. The Rnw files (using knitr LaTeX) are there along with the corresponding pdf files. You may have better solutions than ...

Read more »

Basic mapping and attribute joins in R

November 9, 2014
By
Basic mapping and attribute joins in R

This post is based on the free and open source Creating-maps-in-R teaching resource for introducing R as a command-line GIS. R is well known as an language ideally suited for data processing, statistics and modelling. R has a number of spatial packages, allowing analyses that would require hundreds of lines of code in other languages to be implemented with...

Read more »

Computing Power Functions

November 5, 2014
By
Computing Power Functions

In a recent post I discussed some aspects of the distributions of some common test statistics when the null hypothesis that's being tested is actually false. One of the things that we saw there was that in many cases these distributions are "non-central", with a non-centrality parameter that increases as we move further and further away from the...

Read more »

Introducing Revolution R Enterprise V 7.3

November 5, 2014
By

by Bill Jacobs Revolution R Enterprise is the industry's first R-based analytics platform that supports a variety of parallel, grid and clustered systems such as Hadoop, Teradata database and Platform LSF Linux grids. Last year, we enhanced Revolution R Enterprise (RRE) to support big data systems, with support for Hadoop. We continued expansion of RRE in 2014, adding support...

Read more »

Central and Non-Central Distributions

November 3, 2014
By
Central and Non-Central Distributions

Let's imagine that you're teaching an econometrics class that features hypothesis testing. It may be an elementary introduction to the topic itself; or it may be a more detailed discussion of a particular testing problem. We're not talking here about a course on Bayesian econometrics, so in all likelihood you'll be following the "classical" Neyman-Pearson...

Read more »

Flexible Beta Modeling

October 27, 2014
By
Flexible Beta Modeling

Read more »

R for in-Hadoop Analytics: with Big Data Developer meetup Group

October 26, 2014
By

We were honoured to have a joint event with the Big Data Developer Meetup Group where we were introduced to IBMs BigR package for in-Hadoop Analytics. Mr. Rafeal Coss and Mr. Brandon MacKenzie demonstrated the workings of BigR, the integration of R into Hadoop using IBM BigInsights. You can download the slides of this presentation by clicking here. BigR allows R users to...

Read more »

Combating Multicollinearity by Asking the Right Questions and Uncovering Latent Features

October 26, 2014
By
Combating Multicollinearity  by Asking the Right Questions and Uncovering Latent Features

Overview. When responding to questions about brand perceptions or product feature satisfaction, consumers construct a rating  by relying on their overall satisfaction with the brand or product plus some general category knowledge of how diffi...

Read more »

A first look at Distributed R

October 23, 2014
By
A first look at Distributed R

by Joseph Rickert One of the most interesting R related presentations at last week’s Strata Hadoop World Conference in New York City was the session on Distributed R by Sunil Venkayala and Indrajit Roy, both of HP Labs. In short, Distributed R is an open source project with the end goal of running R code in parallel on data...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)