376 search results for "evaluation"

How and why to return functions in R

April 3, 2015
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How and why to return functions in R

One of the advantages of functional languages (such as R) is the ability to create and return functions “on the fly.” We will discuss one good use of this capability and what to look out for when creating functions in R. Why wrap/return functions? One of my favorite uses of “on the fly functions” is … Continue reading...

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Using the R MatchIt package for propensity score analysis

March 28, 2015
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Descriptive analysis between treatment and control groups can reveal interesting patterns or relationships, but we cannot always take descriptive statistics at face value. Regression and matching methods allow us to make controlled comparisons to reduc...

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Using closures as objects in R

March 27, 2015
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Using closures as objects in R

For more and more clients we have been using a nice coding pattern taught to us by Garrett Grolemund in his book Hands-On Programming with R: make a function that returns a list of functions. This turns out to be a classic functional programming techique: use closures to implement objects (terminology we will explain). It … Continue reading...

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Machine Learning in R for beginners

March 25, 2015
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Machine Learning in R for beginners

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. The post

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Model Segmentation with Cubist

March 18, 2015
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Model Segmentation with Cubist

Cubist is a tree-based model with a OLS regression attached to each terminal node and is somewhat similar to mob() function in the Party package (https://statcompute.wordpress.com/2014/10/26/model-segmentation-with-recursive-partitioning). Below is a demonstrate of cubist() model with the classic Boston housing data.

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Adopting R for experienced developers

March 14, 2015
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Adopting R for experienced developers

More and more frequently I come across people who express an interest in R, and I thought I would share some advice to help people decide if R is something they should use, as well as some high level advice on getting started. Most of these people are developers with at least few years experience writing code...

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Data Science/Statistics/R @Google

February 27, 2015
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This meetup will be hosted by Google and we’ll have Peter Lipman and Pete Meyer...

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Priors on odds and probability of success

February 22, 2015
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Priors on odds and probability of success

In Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) they mention that an non informative prior should be uniform over the range of interest. They combine this with the d...

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Some R Conferences in 2015

February 19, 2015
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by Joseph Rickert For the past few years, the Strata + Hadoop World Conference in San Jose has kicked off my personal conference season. With its focus on Data Science, Strata always seems to present some interesting R related talks, and I am looking forward to the various events over the next couple of days. But, Strata and other...

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Trial until first succes

February 15, 2015
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Trial until first succes

Studying on in Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) they state that if you have one success in a trial, that a design is needed to know what that means. For examp...

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