224 search results for "heatmap"

R: heatmaps with gplots

April 8, 2010
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R: heatmaps with gplots

I use heatmaps quite a lot for visualizing data, microarrays of course but also DNA motif enrichment, base composition and other things. I particular like the heatmap.2 function of the gplots package. It has a couple of defaults that are a little ugly ...

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R: heatmaps with gplots

April 8, 2010
By
R: heatmaps with gplots

I use heatmaps quite a lot for visualizing data, microarrays of course but also DNA motif enrichment, base composition and other things. I particular like the heatmap.2 function of the gplots package. It has a couple of defaults that are a little ugly ...

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ggplot2: Quick Heatmap Plotting

January 25, 2010
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ggplot2: Quick Heatmap Plotting

A post on FlowingData blog demonstrated how to quickly make a heatmap below using R base graphics. This post shows how to achieve a very similar result using ggplot2. Data Import FlowingData used last season’s NBA basketball statistics provided by databasebasketball.com, and the csv-file with the data can be downloaded directly from its website. >

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BioC 3.3: NEWS of my packages

May 5, 2016
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BioC 3.3: NEWS of my packages

Today is my birthday and it happened to be the release day of Bioconductor 3.3. It’s again the time to reflect what I’ve done in the past year. ChIPseeker clusterProfiler DOSE ggtree GOSemSim ReactomePA ChIPseeker Although ChIPseeker was designed for ChIP-seq annotation, I am very glad to find that someone else use it to annotate other data including

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52 Vis Week #2 Wrap Up

April 13, 2016
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52 Vis Week #2 Wrap Up

I’ve been staring at this homeless data set for a few weeks now since I’m using it both here and in the data science class I’m teaching. It’s been one of the most mindful data sets I’ve worked with in a while. Even when reduced to pure numbers in named columns, the names really stick... Continue reading →

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Plotting Choropleths from Shapefiles in R with ggmap – Toronto Neighbourhoods by Population

March 19, 2016
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Plotting Choropleths from Shapefiles in R with ggmap – Toronto Neighbourhoods by Population

IntroductionSo, I'm not really a geographer. But any good analyst worth their salt will eventually have to do some kind of mapping or spatial visualization. Mapping is not really a forte of mine, though I have played around with it some in the past.I was working with some shapefile data a while ago and thought about how...

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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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You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processing

March 4, 2016
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You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processing

It is a truth universally acknowledged that sentiment analysis is super fun, and Pride and Prejudice is probably my very favorite book in all of literature, so let’s do some Jane Austen natural language processing. Project Gutenberg makes e-texts available for many, many books, including Pride and Prejudice which is available here. I am using the plain text...

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Why I use ggplot2

February 12, 2016
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Why I use ggplot2

If you’ve read my blog, taken one of my classes, or sat next to me on an airplane, you probably know I’m a big fan of Hadley Wickham’s ggplot2 package, especially compared to base R plotting. Not everyone agrees. Among the anti-ggplot2 crowd is JHU Professor Jeff Leek, who yesterday wrote up his thoughts on the Simply Statistics...

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15 graphs on consumer and brand research made by Plotly users

February 8, 2016
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15 graphs on consumer and brand research made by Plotly users

Below are 15 charts made in Plotly or using Ploty’s APIs by users on Brand and consumer Research. 1. So what if I’m old – Brand choices for Age > 60 Chart Link: https://plot.ly/~snawel/80/brand-choices-for-age-60/ Chart Author: @ snawel Touched up in: Plotly online editor Code: Python code R Code 2. DND, I am watching TV

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