303 search results for "boxplot"

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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Everything in Its Right Place: Visualization and Content Analysis of Radiohead Lyrics

June 22, 2013
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Everything in Its Right Place: Visualization and Content Analysis of Radiohead Lyrics

IntroductionI am not a huge Radiohead fan.To be honest, the Radiohead I know and love and remember is that which was a rock band without a lot of 'experimental' tracks - a band you discovered on Big Shiny Tunes 2, or because your friends told you about...

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Software Packages for Graphs and Charts

June 17, 2013
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Software Packages for Graphs and Charts

Graphs can be an important feature of analysis. A graph that has been well designed and put together can make summary statistics much more readable and increase the interpretability. It also makes reports and articles looks more professional. There are many software packages that are available to design great graphs and charts.  This seems to

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Dynamic Data Visualizations in the Browser Using Shiny

June 16, 2013
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Dynamic Data Visualizations in the Browser Using Shiny

After being busy the last two weeks teaching and attending academic conferences, I finally found some time to do what I love, program data visualizations using R. After being interested in Shiny for a while, I finally decided to pull the trigger and build my first Shiny app! I wanted to make a proof of

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Hey, I Just did a Significance Test!

June 7, 2013
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Hey, I Just did a Significance Test!

I’ve seen it happens quite often. The sig test. Somebody simply needs to know the p-value and that one number will provide all of the information about the study that they need to know. The dataset is presented and the client/boss/colleague/etc invariably asks the question “is it significant?” and “what’s the correlation?”. To quote R.A.

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