Monthly Archives: February 2013

Automatic Notice When Vacancy Available

February 26, 2013
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Today, I visited a webpage inadvertently and found several job positions that I am competent with, unfortunately all of them has expired. How many chances we lost in this way?! So I decide to do somthing to limit this kind of loss, and of course using our smart R!The idea is simple: check the job vacancy webpages reguarly, if...

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The stringdist package

February 26, 2013
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String metrics have important applications in web search, spelling correction and computational biology amongst others. Many different metrics exist, but the most well-known are based on counting the number of basic edit operations it takes to turn one string into … Continue reading →

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First steps of using googleVis on shiny

February 26, 2013
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First steps of using googleVis on shiny

The guys at RStudio have done a fantastic job with shiny. It is really easy to build web apps with R using shiny. With the help of Joe Cheng from RStudio we figured out a way to make googleVis work on shiny as well. This allows you to make use of the Google Charts...

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Normal distribution functions

February 25, 2013
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Normal distribution functions

Ah, the Central Limit Theorem.  The basis of much of statistical inference and how we get those 95% confidence intervals.  It's just so beautiful!  Lately, I have found myself looking up the normal distribution functions in R.  They...

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What is Revolution R Enterprise?

February 25, 2013
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Let us explain, in 90 seconds: Want a more in-depth introduction to R and Revolution R Enterprise? I'll be giving the webinar Revolution R Enterprise: 100% R and More on March 14. Just follow the link below to secure your seat for the live presentation, and to receive notification of the replay. Revolution Analytics webinars: Revolution R Enterprise: 100%...

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R/ggplot2 tip: aes_string

February 25, 2013
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R/ggplot2 tip: aes_string

I’m a big fan of ggplot2. Recently, I ran into a situation which called for a useful feature that I had not used previously: aes_string. Imagine that you have data consisting of observations for several variables – let’s say A, B, C – where each observation is from one of two groups – call them

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The Fun of Error Trapping: R Package Edition

February 25, 2013
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For the last month or so I’ve been working on an R package to make accessing the Adobe (Omniture) Digital Marketing Suite Reporting API easier.  As part of this development effort, I’m at the point where I’m intentionally introducing errors into my function inputs, trying to guess some of the ways useRs might incorrectly input The Fun of...

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Plot 3D Wireframes from Morphologika

February 25, 2013
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Hi morphometricians,A quick update: a function to plot Morphologika 3D wireframes using the package geomorph. This routine (or a version of it) will be included in our next package update under the "read.morphologika" function.Enjoy!Example:library(geo...

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Exporting nice plots in R

February 25, 2013
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Exporting nice plots in R

It's not always easy getting the right size. The image is CC by Kristina Gill.A vital part of statistics is producing nice plots, an area where R is outstanding. The graphical ablility of R...

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Simplify frequency plots with ggplot in R #rstats

February 25, 2013
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Simplify frequency plots with ggplot in R #rstats

Update March 5th All downloads are now accessible from my script page! Summary This posting shows how to plot frequency plots using the ggplot-package in R. Compared to SPSS standard outputs, you will learn how to create appealing diagrams ready … Weiterlesen →

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