Monthly Archives: February 2016

rbokeh Version 0.4.1 Released

February 29, 2016
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The rbokeh package version 0.4.1 was recently released. The most major addition in 0.4 is support for javascript callbacks for custom interactivity, which I’ll provide an example of below and will be posting about in more detail soon. Thanks to i...

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Version control with Git

February 29, 2016
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Version control with Git

Keeping track of versions You work on a project and would like to keep track of what you did. That is why keep old versions of your files. That way you can go back if you messed up beyond recognition. Usually that looks like this: Or you use dropbox or something like it: Other people...

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BythMusteR: Mobile Phone Evolution

February 29, 2016
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BythMusteR: Mobile Phone Evolution

TL DRs Time ago I changed my humble moto G 1st gen with a more big Mate Ascend 7 and my thumb did things I didn’t know to reach the opposite top corner. In one of this efforts to reach a far icon I remembered the phone evolution image. And then I asked how true is this image. How similiar is...

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R-based data maps in PowerBI

February 29, 2016
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R-based data maps in PowerBI

One of benefit of integrating R with PowerBI is access to rich array of data visulizations not present in the standard PowerBI loadout. R is practically unlimited in the types of graphics it can create (although the amount of programming required can vary from a few lines using an existing R package, to large custom functions for truly bespoke...

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Toying with models: The Game of Life with selection

February 29, 2016
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Toying with models: The Game of Life with selection

Conway’s Game of life is probably the most famous cellular automaton, consisting of a grid of cells developing according simple rules. Today, we’re going to add mutation and selection to the game, and see let patterns evolve. The fate of a cell depends on the number cells that live in the of neighbouring positions. A

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Batch Forecasting in R

February 29, 2016
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Batch Forecasting in R

Given a data frame with multiple columns which contain time series data, let’s say that we are interested in executing an automatic forecasting algorithm on a number of columns. Furthermore, we want to train the model on a particular number of observations and assess how well they forecast future values. Based upon those testing procedures,

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covplot supports GRangesList

February 28, 2016
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covplot supports GRangesList

To answer the issue, I extend the covplot function to support viewing coverage of a list of GRanges objects or bed files. library(ChIPseeker) files <- getSampleFiles() peak=GenomicRanges::GRangesList(CBX6=readPeakFile(files]), ...

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Vertica doesn’t suit ML or ‘Why I stopped using the Vertica R package’

February 28, 2016
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Vertica doesn’t suit ML or ‘Why I stopped using the Vertica R package’

2 Years, are a long time. For a blogger wannabe for sure. 2 years since my last post, a lot has happened and my skills have broadened beyond R, so this R dedicated blog, might not speak about R so much, maybe some other things. I’ve received some good comments from readers and friends on my contribution

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New CRAN package gunsales

February 28, 2016
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New CRAN package gunsales

This is based on joint work with Gregor Aisch and Josh Keller of the New York Times. A new package gunsales is now on the CRAN network for R. It is based the NYTimes/gunsales repository underlying the excellent New York Times visualizations, first published first in December 2015 and updated with more recent data...

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My Baby Boomer Name Might Have Been “Debbie”

February 28, 2016
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My Baby Boomer Name Might Have Been “Debbie”

I have always loved learning and thinking about names, how they are chosen and used, and how people feel about their names and the names around them. We had a traditional baby name book at our house when I was growing up (you know, lists of names with meanings), and I remember poring over it to find unusual or...

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