2047 search results for "Regression"

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 »

Computing Power Curves

November 5, 2014
By
Computing Power Curves

In a recent postย 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 null...

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 weekโ€™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 »

Stan 2.5, now with MATLAB, Julia, and ODEs

October 22, 2014
By
Stan 2.5, now with MATLAB, Julia, and ODEs

As usual, you can find everything on the Stan Home Page. Drop us a line on the stan-users group if you have problems with installs or questions about Stan or coding particular models. New Interfaces We’d like to welcome two new interfaces: MatlabStan by Brian Lau, and  Stan.jl (for Julia) by Rob Goedman. The new The post

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

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)