907 search results for "how to import image file to r"

Learning Kernels SVM

September 25, 2012
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Learning Kernels SVM

Machine Learning and Kernels A common application of machine learning (ML) is the learning and classification of a set of raw data features by a ML algorithm or technique. In this context a ML kernel acts to the ML algorithm … Continue reading →

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qgraph version 1.1.0 and how to simply make a GUI using ‘rpanel’

September 24, 2012
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qgraph version 1.1.0 and how to simply make a GUI using ‘rpanel’

Last week I have updated the ‘qgraph‘ package to version 1.1.0, available on CRAN now. Besides some internal changes (especially the self-loops have been substantially improved) the most important change is the addition of a GUI interface, which can be … Continue reading →

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New Zealand school performance: beyond the headlines

September 24, 2012
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New Zealand school performance: beyond the headlines

I like the idea of having data on school performance, not to directly rank schools—hard, to say the least, at this stage—but because we can start having a look at the factors influencing test results. I imagine the opportunity in … Continue reading →

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Spacing measures: heterogeneity in numerical distributions

Spacing measures: heterogeneity in numerical distributions

Numerically-coded data sequences can exhibit a very wide range of distributional characteristics, including near-Gaussian (historically, the most popular working assumption), strongly asymmetric, light- or heavy-tailed, multi-modal, or discrete (e.g., count data).  In addition, numerically coded values can be effectively categorical, either ordered, or unordered.  A specific example that illustrates the range of distributional behavior often seen in a collection...

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Who is the most complete athlete? – An insight with the Mahalanobis distance (sport & data analysis)

September 21, 2012
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Who is the most complete athlete? – An insight with the Mahalanobis distance (sport & data analysis)

How to use your favorite fonts in R charts

September 20, 2012
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How to use your favorite fonts in R charts

Today's guest post comes from Winston Chang, a software developer at RStudio — ed. When it comes to making figures in R, you can use any font you like, as long as it's Helvetica, Times, or Courier. Using other fonts that are installed on your computer can seem an impossible task, especially if you want to save the output...

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The PMML Revolution: Predictive analytics at the speed of business

September 19, 2012
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The PMML Revolution: Predictive analytics at the speed of business

This guest post is by Alex Guazzelli, VP of Analytics at Zementis Inc. -- ed. PMML, the Predictive Model Markup Language, is the de facto standard to represent predictive analytics and data mining models. With PMML, it is extremely easy to move a predictive solution from one system to another, since it avoids proprietary issues and incompatibilities. Companies around...

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DESeq vs edgeR Comparison

September 18, 2012
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DESeq vs edgeR Comparison

Update (Dec 18, 2012): Please see this related post I wrote about differential isoform expression analysis with Cuffdiff 2.DESeq and edgeR are two methods and R packages for analyzing quantitative readouts (in the form of counts) from high-throughput e...

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Great Circles, Black Holes, and Community Events Part 3 of 3

September 14, 2012
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Great Circles, Black Holes, and Community Events Part 3 of 3

The second community event is the Soldier Hollow Junior Olympics (SoHo), again found in the Heber Valley area. Building upon the previous posts (part 1 and part 2) this one will show an event that has more people coming from greater distance. Take the bar charts for the number of participants and the cities they are...

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Great Circles, Black Holes, and Community Events Part 2 of 3

September 12, 2012
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Great Circles, Black Holes, and Community Events Part 2 of 3

This post will examine the Heber Valley Railroad, a small town tourist attraction using event gravitational pull. Using the information from part 1 the two factors associated with the events gravity, the number of participants, and the distance they traveled. The number of participants can be shown using bar charts, histograms, and summary tables. The distance traveled...

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