60 search results for "ecdf"

R 3.2.4 is released

March 11, 2016
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R 3.2.4 is released

R 3.2.4 (codename “Very Secure Dishes”) was released today. 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 3.2.4 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 should you backup your R objects?

February 18, 2016
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Why should you backup your R objects?

There is a saying that there are two groups of people: those who are already doing backups and those who will. So, how this is linked with reproducible research and R? If your work is to analyze data then you often face a need to restore/recreate/update results that you have generated some time ago. You … Czytaj dalej...

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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

Read more »

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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