270 search results for "pca"

Introducing H2O Lagrange (2.6.0.11) to R

September 1, 2014
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From my perspective the most important event that happened at useR! 2014 was that I got to meet the 0xdata team and now, long story short, here I am introducing the latest version of H2O, labeled Lagrange (2.6.0.11), to the R and greater data science communities. Before joining 0xdata, I was working at a competitor on a rival project and was repeatedly asked...

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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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A Conversation with Max Kuhn – The useR! 2014 Interview

August 11, 2014
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The Interview In the video above, Max provides some amazing insights into the why and...

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Parameterized SQL queries

August 5, 2014
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Mateusz Żółtak asked me to spread the word about his new R package for parameterized SQL queries. Below you can find the copy of package vignette. If you work with SQL in R you may find it useful. Mateusz Żółtak The package RODBCext is an extension of the RODBC database connectivity package. It provides support

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Things to try after useR! – Part 1: Deep Learning with H2O

July 25, 2014
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Things to try after useR! – Part 1: Deep Learning with H2O

Annual R User Conference 2014The useR! 2014 conference was a mind-blowing experience. Hundreds of R enthusiasts and the beautiful UCLA campus, I am really glad that I had the chance to attend! The only problem is that, after a few days of non-stop R talks, I was (and still am) completely overwhelmed...

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Advanced R Profiling with pbdPAPI

July 22, 2014
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Advanced R Profiling with pbdPAPI

R has some extremely useful utilities for profiling, such as system.time(), Rprof(), the often overlooked tracemem(), and the rbenchmark package. But if you want more than just simple timings of code execution, you will mostly have to look elsewhere. One of the best sources for profiling data is hardware performance counters, available in most modern hardware. This data can...

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Introduction to R for Life Scientists: Course Materials

July 7, 2014
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Introduction to R for Life Scientists: Course Materials

Last week I taught a three-hour introduction to R workshop for life scientists at UVA's Health Sciences Library.I broke the workshop into three sections:In the first half hour or so I presented slides giving an overview of R and why R is so awesome. Du...

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Stone Flakes V, networks again

July 6, 2014
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Stone Flakes V, networks again

Last week I tried pcalg. This week deal (Learning Bayesian Networks with Mixed Variables). The aim n this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to underst...

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Using Biplots to Map Cluster Solutions

July 2, 2014
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Using Biplots to Map Cluster Solutions

FactoMineR is a quick and easy R package for generating biplots, such as the following plot showing the columns as arrows with the rows to be added later as points. As you might recall from a previous post, a biplot maps a data matrix by plotting both ...

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stone flakes IV

June 29, 2014
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stone flakes IV

In this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to understand how the stone flakes data fit together. DataData are stone flakes data which I analyzed previous...

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