# Monthly Archives: July 2013

## Orthogonal Partial Least Squares (OPLS) in R

July 28, 2013
By

I often need to analyze and model very wide data (variables >>>samples), and because of this I gravitate to robust yet relatively simple methods. In my opinion partial least squares (PLS) is a particular useful algorithm. Simply put, PLS is an extension of principal components analysis (PCA), a non-supervised  method to maximizing  variance explained in X,

## Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 1: Result Evaluation

July 28, 2013
By

Introduction There was the EEEI Data Fusion Contest this spring. This year they wanted people to elaborate about hyper-spectral (142-bands imagery) and LiDAR data. The resolution of the data-set was about 5 m.  There were 2 nominations: best classification and  the best scientific paper.  I work with high-resolution imagery quite often, but classification is a very rear task for me...

## Hopfield Networks in Julia

July 28, 2013
By

As a fun side project last night, I decided to implement a basic package for working with Hopfield networks in Julia. Since I suspect many of the readers of this blog have never seen a Hopfield net before, let me explain what they are and what they can be used for. The short-and-skinny is that

## Modeling Match Results in La Liga Using a Hierarchical Bayesian Poisson Model: Part two.

July 28, 2013
By

In the last blog post I showed my initial attempt at modeling football results in La Liga using a Bayesian Poission model, but there was one glaring problem with the model; it did not consider the advantage of being the home team. In this post I will show how to fix this! I will also show a way...

## A JAGS calculation on pattern of rain January 1906-1915 against 2003-2012

July 28, 2013
By

Two weeks ago I showed rain data from six stations in Netherlands years 1906 till now. Last week I showed that frequency of days with and without rain differed between December 1906-1915 and December 2003-2012. This week I am considering the ...

## SAP HANA OData and R

As you might have discovered by now...I love R...it's just an amazing programming language...By now...I have integrate R and SAP HANA via ODBC and via the SAP HANA-R integration...but I have completely left out the SAP HANA OData capabilities.For this ...

## H*Wind Analyses Using R

July 27, 2013
By

I did a (relatively) simple work-up over on Github showing how to load in AOML/NOAA H*Wind analysis data and display it. I used the R program, which is an open-source, community-maintained statistical platform capable of handling – well – just about anything. So what is H*Wind? From AOML/NOAA: Since 1996 the Hurricane Research Division has participated in... Continue reading » The...

## The Secrets of Inverse Brogramming, reprise

July 27, 2013
By

Brogramming is the art of looking good while you write code. Inverse brogramming is a silly term that I’m trying to coin for the opposite, but more important, concept: the art of writing good looking code. At useR2013 I gave a talk on inverse brogramming in R – for those of you who weren’t there

## Science link fest for the week of the 27th

July 27, 2013
By

Hello Paleoposse! This week I bring you Egyptians and iron meteorites, Neil deGrasse Tyson as the Carl Sagan of our generation and a mild rant about poor quality science reporting. I’m off to enjoy my 30th birthday. Hope you all have an awesome weekend! Solid science: Here’s a story that’s near and dear to my

## Whilst reading John Hempton’s post on shorting \$HLF I…

July 27, 2013
By

only the most active trading days \$HLF (HerbaLife weight-loss supplements / MLM) \$HLF regular history big loss days and big volume days for \$HLF. "Ackman" should instead read "Einhorn".Whilst reading John Hempton’s post on shorting \$HLF I decided to follow along in quantmod. Bronte Capital: It was the night before Christmas… falsifying Bill Ackman’s...

## Recent popular posts

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)