367 search results for "boxplot"

Profile Likelihood for New Jersey U.S. Senate Special Election

September 16, 2013
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Profile Likelihood for New Jersey U.S. Senate Special Election

As it stands right now Cory Booker has a very good chance of winning the New Jersey Special U.S. Senate election on October 16 to replace Frank Lautenberg and fill the remainder of his term for the next 15 months.  So with the election only about a month away I took advantage of some of

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eoda offers courses for data visualization and graphics with R

September 9, 2013
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eoda offers courses for data visualization and graphics with R

Graphic modeling can be nerve-stretching and stressful. eoda’s R academy will help you to manage and facilitate your work concerning graphic modeling as there are multiple possibilities to visualize contents appealingly. R provides features to create several kinds of graphics like boxplots, histograms, or scatterplots. The following graphics shall demonstrate different possibilities of data visualization

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Fair weather fans, redux

September 1, 2013
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Fair weather fans, redux

Fair weather fans, redux Or, A little larger small sample On August 11 the Victoria HarbourCats closed out their 2013 West Coast League season with a 4-3 win over the Bellingham Bells. In an earlier...

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More rainfall calculations – REML

August 4, 2013
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More rainfall calculations – REML

I wanted to have a look at various REML methods for a long time. The rainfall data seemed a nice example. On top of that, FreshBiostats had a blog post 'Mixed Models in R: lme4, nlme, or both?'. So lme4 it is.The data  As described before; th...

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

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:

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A Quick and Dirty Guide to Exploratory Data Visualization

July 20, 2013
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A Quick and Dirty Guide to Exploratory Data Visualization

One of the things I've noticed teaching statistical fundamentals or working with colleagues is the lack of focus on first visually exploring the data.  Novices seem to want to jump right in with correlations and statistical tests without getting a...

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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

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Analyses of the Best Undergraduate (US-based) Business Schools of 2013

June 27, 2013
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Analyses of the Best Undergraduate (US-based) Business Schools of 2013

Link to the code for the analysis program is given at the very end.I teach in a business school and am always fascinated by rankings published by different outlets. As much as one would like to think that they are meaningless, they seem to influence ho...

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Split violin plots

June 25, 2013
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Split violin plots

(This article was first published on Ecology in silico, and kindly contributed to R-bloggers) Violin plots are useful for comparing distributions. When data are grouped by a factor with two levels (e.g. males and females), you can split the violins in half to see the difference between groups. Consider a 2 x 2 factorial experiment: treatments A and B...

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Getting started with R

June 25, 2013
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Getting started with R

I wanted to avoid advanced topics in this post and focus on some “blocking and tackling” with R in an effort to get novices started.  This is some of the basic code I found useful when I began using R just over 6 weeks ago. Reading in data from a .csv file is a breeze with this command. > data =...

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