# 262 search results for "evaluation"

## The Happiest Emoticons

September 10, 2013
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Clearly, a :) is happier than a :( but what about a :-* and a :-D ? Or a :-| and a :-o ? In this post I attempt to rank emoticons in order of how happy someone has to be to use each one. (And punctuate horribly to avoid mixing punctuation with the emot...

## Online course on forecasting using R

September 10, 2013
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I am teaming up with Revolution Analytics to teach an online course on forecasting with R. Topics to be covered include seasonality and trends, exponential smoothing, ARIMA modelling, dynamic regression and state space models, as well as forecast accuracy methods and forecast evaluation techniques such as cross-validation. I will talk about some of my consulting experiences, and explain the...

## Metaprogramming in R with an example: Beating lazy evaluation

September 5, 2013
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Functional languages allows us to treat functions as types. This brings us a distinct advantage of being able to write a code that generates further code, this practise is generally known as metaprogramming. As a functional language R project provides ...

## Classification of the Hyper-Spectral and LiDAR Imagery using R (mostly). Part 2: Classification Approach and Spectre Profile Creation

August 3, 2013
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IntroductionThis is the second part of my post series related to hyper-spectral and LiDAR imagery using R. See other parts: Part 1: Result Evaluation. In this part I will describe my general approach to classification process and then I will show you how to create cool spectral response plots like this:

## bdvis development version available for early feedback

July 30, 2013
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Google Summer of Code 2013 is half way through. Mid term evaluations are underway. I thought this is a good logical point for us to share what we have been doing for Biodiversity Data Visualizations in R project and open up the package for testing and some early feedback. We have named the package bdvis.

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

July 28, 2013
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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...

## Deferred evaluation in Renjin, Riposte, and pqR

July 24, 2013
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The previously sleepy world of R implementation is waking up.  Shortly after I announced pqR, my “pretty quick” implementation of R, the Renjin implementation was announced at UserR! 2013.  Work also proceeds on Riposte, with release planned for a year from now. These three implementations differ greatly in some respects, but interestingly they all try

## Visual debugging with RStudio

July 22, 2013
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Introduction From release 098.208 the last RStudio IDE comes with a visual debugger. Now debugging with R and RStudio becomes a simple and efficient task. This short post does not want to be a crash course: “debugging with R” nor … Continue reading →

## Optimising a Noisy Objective Function

July 16, 2013
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$Optimising a Noisy Objective Function$

I am busy with a project where I need to calibrate the Heston Model to some Asian options data. The model has been implemented as a function which executes a Monte Carlo (MC) simulation. As a result, the objective function is rather noisy. There are a number of algorithms for dealing with this sort of problem, and