303 search results for "boxplot"

PostgreSQL, Excel, R, and a Really Big Data Set!

April 19, 2012
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PostgreSQL, Excel, R, and a Really Big Data Set!

At work I’ve started to work with the biggest data set I’ve ever seen!  First, let me qualify my use of the term “Big Data”.  The number of rows in the resultant data set (after much transformation and manipulation in … Continue reading →

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Small Countries Stablize by Exporting High-Tech

April 18, 2012
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Small Countries Stablize by Exporting High-Tech

Smaller countries lead the way.When you think of 'high-tech', which countries come to mind?What is 'High-Tech'?Before continuing, what is meant by the term 'high-tech'? As defined by the World Data Bank, high-technology exports ar...

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Montreal R Workshop: Quantile Regression

April 17, 2012
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Montreal R Workshop: Quantile Regression

Stewart Biology Building, McGill University (Rm N4/17) Monday, April 24, 2012  14h-16h Dr. Arthur Charpentier (UQàM) In this workshop we will examine difference concepts related to quantiles, and practical issues based on R codes. This workshop will present quantile regression, and the idea of iterative least square estimation. It will present an illustration on climate

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Enjoy Low Income Tax Rates

April 4, 2012
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Enjoy Low Income Tax Rates

Tax rates were higher in the past...Joe derisively snorted at the pay stub in his hand. Crumpling it into a ball, he wound up like a baseball pitcher and fast-balled the wad of paper across the room. It bounced unsatisfyi...

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Resampling Hierarchically Structured Data Recursively

April 4, 2012
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Resampling Hierarchically Structured Data Recursively

That's a mouthful! I presented this topic to a group of Vandy statisticians a few days ago. My notes (essentially reproduced in this post) are recorded at the Dept. of Biostatistics wiki: HowToBootstrapCorrelatedData. The presentation covers some bootstrap strategies for hierarchically structured (correlated) data, but focuses on the multi-stage bootstrap; an extension of that described

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R 2.15.0 is released

March 30, 2012
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R 2.15.0 is released

Bellow is the announcement made by Peter Dalgaard: The build system rolled up R-2.15.0.tar.gz (codename “Easter Beagle”) at 9:00 this morning. This is the first release of the 2.15 series and contains several new features and changes; see the list below for details. You can get the source code from http://cran.r-project.org/src/base/R-2/R-2.15.0.tar.gz or wait for it to be mirrored at...

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How to customize ggplot2 graphics

March 26, 2012
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How to customize ggplot2 graphics

I consider ggplot2 to be nothing short of a revolution in R graphics. I simply haven't found anything like this package for quickly and elegantly producing usable graphics.  I covered the quick and dirty basics of ggplot2 in a previous post. Now I...

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Nordic Countries Dominate the World in Internet Penetration

March 21, 2012
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Nordic Countries Dominate the World in Internet Penetration

Something about that cold weather... The number of internet users in the Nordic countries has greatly outpaced the world by comparison. Denmark, Iceland, Norway, Sweden, Finland - all in the elite echelon. These countries share a common ancestry -...

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Visualising F1 Telemetry Data and Plotting Latitude and Longitude with ggplot Map Projections in R

March 14, 2012
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Visualising F1 Telemetry Data and Plotting Latitude and Longitude with ggplot Map Projections in R

Why don’t X-Y plots of latitude and longitude data look “right” compared to traditional map views? For example, here’s an X-Y scatterplot of some of Jenson Button’s McLaren telemetry data from the 2010 Australian Formula One Grand Prix: The image was generated, from a data file hosted on Google Spreadsheets, using the following R script,

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Simple plots reveal interesting artifacts

March 14, 2012
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Simple plots reveal interesting artifacts

I’ve recently been working with methylation data; specifically, from the Illumina Infinium HumanMethylation450 bead chip. It’s a rather complex array which uses two types of probes to determine the methylation state of DNA at ~ 485 000 sites in the genome. The Bioconductor project has risen to the challenge with a (somewhat bewildering) variety of

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