194 search results for "heatmap"

dendextend: a package for visualizing, adjusting, and comparing dendrograms (based on a paper from “bioinformatics”)

August 4, 2015
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dendextend: a package for visualizing, adjusting, and comparing dendrograms (based on a paper from “bioinformatics”)

This post on the dendextend package is based on my recent paper from the journal bioinformatics (a link to a stable DOI). The paper was published just last week, and since it is released as CC-BY, I am permitted (and delighted) to republish it here in full: abstract Summary: dendextend is an R package for creating and comparing visually appealing … Continue reading...

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Seeing Data as the Product of Underlying Structural Forms

July 15, 2015
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Seeing Data as the Product of Underlying Structural Forms

Matrix factorization follows from the realization that nothing forces us to accept the data as given. We start with objects placed in rows and record observations on those objects arrayed along the top in columns. Neither the objects nor the measuremen...

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dendextend version 1.0.1 + useR!2015 presentation

June 28, 2015
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dendextend version 1.0.1 + useR!2015 presentation

My R package dendextend (version 1.0.1) is now on CRAN! The dendextend package Offers a set of functions for extending dendrogram objects in R, letting you visualize and compare trees of hierarchical clusterings. With it you can (1) Adjust a tree’s graphical parameters – the color, size, type, etc of its branches, nodes and labels. … Continue reading...

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Visualization and Analysis of Reddit’s "The Button" Data

June 15, 2015
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Visualization and Analysis of Reddit’s "The Button" Data

IntroductionPeople are weird. And if there's anything that's greater collective proof of this fact than Reddit, you'd be hard pressed to find it.I tend to put reddit in the same bucket as companies like Google, Amazon and Netflix, where they have enoug...

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Any R code as a cloud service: R demonstration at BUILD

June 5, 2015
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Any R code as a cloud service: R demonstration at BUILD

At last month's BUILD conference for Microsoft developers in San Francisco, R was front-and-center on the keynote stage. In the keynote, Microsoft CVP Joseph Sirosh introduced the "language of data": open source R. Sirosh encouraged the audience to learn R, saying "if there is a single language that you choose to learn today .. let it be R". The...

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How to correctly set color in the image() function?

May 15, 2015
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Sometimes we want to make our own heatmap using image() function. I recently found it's tricky to set the color option there, as its manual has very little information on col:cola list of colors such as that generated by rainbow, heat.colors,...

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Playing with elastichoney data in R

May 11, 2015
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Playing with elastichoney data in R

Work has kept myself & @jayjacobs quite busy of late, but a small data set posted by @jw_sec this morning made for an opportunity for a quick blog post to show how to do some data maniupation and visualization in R for both security and non-security folk (hey, this may even get more non-security folk looking at security data...

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Digging up embedded plots

May 7, 2015
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Digging up embedded plots

by Joseph Rickert The following multi-panel graph, which graces the cover of the most recent issue of the Journal of Computational and Graphical Statistics ,JCGS, (Vol 24, Num 1, March 2015) is from the paper by Grolemund and Wickham entitled Visualizing Complex Data With Embedded Plots. The four plots are noteworthy for a couple or reasons: They present superb...

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Wakefield: Random Data Set (Part II)

April 29, 2015
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Wakefield: Random Data Set (Part II)

This post is part II of a series detailing the GitHub package, wakefield, for generating random data sets. The First Post (part I) was a test run to gauge user interest. I received positive feedback and some ideas for improvements, … Continue reading →

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Blue period: Analyzing the color of paintings with R

April 24, 2015
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Blue period: Analyzing the color of paintings with R

While movies have been getting more orange with time, painting have been going the other direction. Paintings today are generally more blue than they were a few hundred years ago. The image above shows the color spectrum of almost 100,000 paintings created since 1800. Martin Bellander used R to create the image, by scraping images from the BBC YourPaintings...

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