144 search results for "heatmap"

“Building ractives is so addictive it should be illegal!”

March 27, 2013
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clickme is an amazing R package. I was not sure what to expect when I first saw Nacho Caballero's announcement. I actually was both skeptical and intimidated, but neither reaction was justified. The examples prove its power, and his wiki tutorials ease...

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Analyse Quandl data with R – even from the cloud

March 10, 2013
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Analyse Quandl data with R – even from the cloud

I have read two thrilling news about the really promising time-series data provider called Quandl recently: Quandl: A Wikipedia for Time Series DataQuandl package released to CRANWith the help of the Quandl R package* (development version...

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Visualizing Risky Words — Part 2

March 9, 2013
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Visualizing Risky Words — Part 2

This is a follow-up to my Visualizing Risky Words post. You’ll need to read that for context if you’re just jumping in now. Full R code for the generated images (which are pretty large) is at the end. Aesthetics are the primary reason for using a word cloud, though one can pretty quickly recognize what

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More visualisation of 2012 NFL Quarterback performance with R

February 12, 2013
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More visualisation of 2012 NFL Quarterback performance with R

In last week’s post I used R heatmaps to visualise the performance of NFL Quarterbacks in 2012. This was done in a 2 step process, Clustering QB performance based on the 12 performance metrics using hierarchical clustering Plotting the performance clusters using R’s pheatmap library An output from the step 1 is the cluster dendrogram

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Visualising 2012 NFL Quarterback performance with R heat maps

February 3, 2013
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Visualising 2012 NFL Quarterback performance with R heat maps

With only 24 hours remaining in the 2012 NFL season, this is a good time to review how the league's QBs performed during the regular season using performance data from KFFL and the heat mapping capabilities of R. #scale data to mean=0, sd=1 and convert to matrix QBscaled <- as.matrix(scale(QB2012)) #create heatmap and don't reorder

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Heat maps using R

January 12, 2013
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Heat maps using R

One of the great things about following blogs on R is seeing what others are doing & being able to replicate and try out things on my own data sets. For example, some great links on rapidly creating heat maps using R. Drawing Heat Maps in R How to Make a Heatmap – a Quick

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100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

January 2, 2013
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100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site. Last year, I posted on the top 24...

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Who Survived on the Titanic? Predictive Classification with Parametric and Non-parametric Models

December 24, 2012
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Who Survived on the Titanic? Predictive Classification with Parametric and Non-parametric Models

I recently read a really interesting blog post about trying to predict who survived on the Titanic with standard GLM models and two forms of non-parametric classification tree (CART) methodology. The post was featured on R-bloggers, and I think it's worth a closer look. The basic idea was to figure out which of these three

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Working with geographical Data. Part 1: Simple National Infomaps

December 21, 2012
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Working with geographical Data. Part 1: Simple National Infomaps

There is a popular expression in my country called “Gastar polvora en chimangos”, whose translation in English would be “spending gunpowder in chimangos”. Chimango is a kind of bird whose meat is useless for humans. So “spending gunpowder in chimangos” … Continue reading →

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NHS Winter Situation Reports: Shiny Viewer v2

December 18, 2012
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NHS Winter Situation Reports: Shiny Viewer v2

Having got my NHS Winter sitrep data scraper into shape (I think!), and dabbled with a quick Shiny demo using the R/Shiny library, I thought I’d tidy it up a little over the weekend and long the way learn a few new presentation tricks. To quickly recap the data availability, the NHS publish a weekly

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