57 search results for "ecdf"

Using htmlwidgets with knitr and Jekyll

November 15, 2015
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Using htmlwidgets with knitr and Jekyll

A few weeks ago I gave a talk at BARUG (and wrote a post) about blogging with the excellent knitr-jekyll repo. Yihui’s system is fantastic, but it does have one drawback: None of those fancy new htmlwidgets packages seem to work… A few people have run into this. I recently figured out...

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R 3.2.0 is released (+ using the installr package to upgrade in Windows OS)

April 17, 2015
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R 3.2.0 is released (+ using the installr package to upgrade in Windows OS)

R 3.2.0 (codename “Full of Ingredients”) was released yesterday. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.0 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading...

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Why the Ban on P-Values? And What Now?

March 6, 2015
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Why the Ban on P-Values? And What Now?

Just recently, the editors of the academic journal Basic and Applied Social Psychology have decided to ban p-values: that’s right, the nexus for inferential decision making… gone! This has created quite a

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Using Tables for Statistics on Large Vectors

March 1, 2015
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Using Tables for Statistics on Large Vectors

This is the first post I’ve written in a while. I have been somewhat radio silent on social media, but I’m jumping back in. Now, I work with brain images, which can have millions of elements (referred to as voxels). Many of these elements are zero (for background). We want to calculate basic statistics on

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A Machine Learning Result

February 5, 2015
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A Machine Learning Result

by Joseph Rickert Learning to effectively use any of the dozens of popular machine learning algorithms requires mastering many details and dealing with all kinds of practical issues. With all of this to consider, it might not be apparent to a person coming to machine learning from a background other than computer science or applied math that there are...

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Exploratory Data Analysis – All Blog Posts on The Chemical Statistician

Exploratory Data Analysis – All Blog Posts on The Chemical Statistician

This series of posts introduced various methods of exploratory data analysis, providing theoretical backgrounds and practical examples.  Fully commented and readily usable R scripts are available for all topics for you to copy and paste for your own analysis!  Most of these posts involve data visualization and plotting, and I include a lot of detail and

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Exploratory Data Analysis – All Blog Posts on The Chemical Statistician

Exploratory Data Analysis – All Blog Posts on The Chemical Statistician

This series of posts introduced various methods of exploratory data analysis, providing theoretical backgrounds and practical examples.  Fully commented and readily usable R scripts are available for all topics for you to copy and paste for your own analysis!  Most of these posts involve data visualization and plotting, and I include a lot of detail and

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Get Some Class

October 13, 2014
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Get Some Class

By Chris Campbell – Senior Consultant, UK. R is a classy language. Look: x <- matrix(1:9, nrow = 3) x ## ## 1 4 7 ## 2 5 8 ## 3 6 9 class(x) ## … Continue reading →

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The odds of a cluster of airplane accidents

August 2, 2014
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The odds of a cluster of airplane accidents

Recently, there have been a lot of airplane accidents. July, 17th 2014, Hrabove, Ukraine, Malaysia Airlines, Boeing 777, fatalities 298 (/298) July, 23rd 2014, Magong, Taiwan, TransAsia Airways, ATR 72-500, fatalities 47 (/58) July, 24th 2014, Aguelhok, Mali, Air Algerie, Mc Donnell Douglas MD-83, fatalities 116 (/116) It is simple to find a lot of datasets about airplane crashes....

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Gender gap and visualisation challenge @ useR!2014

June 20, 2014
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Gender gap and visualisation challenge @ useR!2014

7 days to go for submissions in the DataVis contest at useR!2014 (see contest webpage). Note that the contest is open for all R users, not only conference participants. Submit your solution soon! PISA dataset allows to challenge some ,,common opinions”, like are boys or girls better in math / reading. But, how to compare

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