2505 search results for "Ggplot2"

Autocorrelation in project Tycho’s measles data

June 1, 2014
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Autocorrelation in project Tycho’s measles data

Project Tycho includes data from all weekly notifiable disease reports for the United States dating back to 1888. These data are freely available to anybody interested.I have looked at Ptoject Tycho's measles data before, general look, incidence,...

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Retrospective: Writing an O’Reilly Book

May 31, 2014
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Retrospective: Writing an O’Reilly Book

A number of people have asked me about the amount of time and effort involved in writing a book as I just completed one for O'Reilly (published in April and is available on Amazon).   The process at O'Reilly is unique in that a book is written and initially formatted on an application called...

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Cohort analysis with R – “layer-cake graph”

Cohort analysis with R – “layer-cake graph”

Cohort analysis is one of the most powerful and demanded technique available to marketers for assessing long-term trends in customer retention and calculating life-time value. If you studied custora’s university, you could be interested by amazing “layer-cake graph” they propose for Cohort analysis. Custora says: “The distinctive “layer-cake graph” produced by looking at cohorts in calendar time can... Read More »

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Mindoro Digital Elevation Map Updated

May 30, 2014
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Mindoro Digital Elevation Map Updated

Almost 2 years ago, I made a post on creating digital elevation map using R. For that post, I used the basic R plotting function to create the map. Recently, I started learning to use ggplot2 package for visualizing data. Today, I created the same map ...

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A new gitbook – learnR

May 30, 2014
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Gitbook is rather a relatively new concept on the web. It provides a user-friendly framework for authors to write and produce online books with beautiful illustrations and responsive interactions. It allows authors to write in Markdown syntax, which is very easy to learn and use, so that they can focus more on the contents they try to...

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Trimming the Fat from glm() Models in R

May 30, 2014
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Trimming the Fat from glm() Models in R

One of the attractive aspects of logistic regression models (and linear models in general) is their compactness: the size of the model grows in the number of coefficients, not in the size of the training data. With R, though, glm models are not so concise; we noticed this to our dismay when we tried to Related posts:

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5th MilanoR meeting postponed to June 4

May 29, 2014
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5th MilanoR meeting postponed to June 4

Dear R users and enthusiasts, MilanoR staff announces the MilanoR meeting scheduled on Friday May 30 is postponed, due to a strike. The 5th MilanoR meeting will be on Wednesday 4 June, at 6 pm. The meeting will take place at: Fiori … Continue reading →

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Data visualisation challange at useR 2014 conference

May 27, 2014
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Data visualisation challange at useR 2014 conference

Familiar with R and DataVis? Take a try in PISA data visualisation contest for useR2014 participants. There are two contest tracks. In each you can win 700$. More information about the contest can be found here: http://www.oecd.org/pisa/pisaproducts/datavisualizationcontest.htm. The prizes are funded by The Organisation for Economic Co-operation and Development (OECD) and tracks are related to

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R gui Revisited

May 27, 2014
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A couple months ago I wrote about switching my class from using SPSS to one that uses R with a gui frontend (original post). Since the semester has wrapped up, below are my thoughts on how the course went with respect to the students using R. Things ...

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PERFORMANCE: captureOutput() is much faster than capture.output()

May 26, 2014
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PERFORMANCE: captureOutput() is much faster than capture.output()

The R function capture.output() can be used to “collect” the output of functions such as cat() and print() to strings. For example, > s <- capture.output({+ cat("Hello\nworld!\n")+ print(pi)+ })> s "Hello" "world!" " 3.141593" More precisely, it...

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