3097 search results for "ggplot"

Examining the Accuracy of Fantasy Football Projections with an Interactive Scatterplot in R

July 13, 2015
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Examining the Accuracy of Fantasy Football Projections with an Interactive Scatterplot in R

In prior posts, we presented the accuracy of different analysts in projecting football players’ performance, finding that the average was more accurate than any individual analyst.  In this post, we present The post Examining the Accuracy of Fantasy Football Projections with an Interactive Scatterplot in R appeared first on Fantasy Football Analytics.

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Two principles approaches to data visualization

July 9, 2015
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Two principles approaches to data visualization

Yesterday I spoke at Stat Bytes, our student-run statistical computing seminar. My goal was to introduce two principled frameworks for thinking about data visualization: human visual perception and the Grammar of Graphics. (We also covered some relevant R packages: RColorBrewer, … Continue reading →

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The network structure of CRAN

July 8, 2015
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The network structure of CRAN

by Andrie de Vries My experience of UseR!2015 drew to an end shortly after I gave a Kaleidoscope presentation discussing "The Network Structure of CRAN". My talk drew heavily on two previous blog posts, Finding the essential R packages using the pagerank algorithm and Finding clusters of CRAN packages using igraph. However, in this talk I went further, attempting...

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The Moon And The Sun

July 8, 2015
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The Moon And The Sun

Do not swear by the moon, for she changes constantly. Then your love would also change (William Shakespeare, Romeo and Juliet) The sun is a big point ant the moon is a cardioid: Here you have the code. It is a simple example of how to use ggplot:

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Sports Data and R – Scope for a Thematic (Rather than Task) View? (Living Post)

July 7, 2015
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Sports Data and R – Scope for a Thematic (Rather than Task) View? (Living Post)

Via my feeds, I noticed a package announcement today for cricketR!, a new package for analysing cricket performance data. This got me wondering (again!) about what other sports related packages there might be out there, either in terms of functional thematic packages (to do with sport in general, or one sport in particular), or particular

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Two pending features to metricsgraphics

July 5, 2015
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I’ve been slowly prodding the metricsgraphics package towards a 1.0.0 release, but there are some rough edges that still need sorting out. One of them is the ability to handle passing in variables for the x & y accessor values (you can pass in bare and quoted strings). This can now be achieved (in the

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More on causes of death in Netherlands over the years

July 5, 2015
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More on causes of death in Netherlands over the years

Last week I had a post 'Deaths in the Netherlands by cause and age'. During creation of that post I made one plot which I had not shown. It shows something odd. There is a vertical striping. Hence mortality varies by year across age.To examine this phe...

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The state of assertions in R

July 3, 2015
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The state of assertions in R

“Assertion” is computer-science jargon for a run-time check on your code. In R , this typically means function argument checks (“did they pass a numeric vector rather than a character vector into your function?”), and data quality checks (“does the date-of-birth column contain values in the past?”). The four packages R currently has four packages

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Exploring the Demographics of Ferguson, Missouri

July 2, 2015
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Exploring the Demographics of Ferguson, Missouri

One interesting feature of Census data is that it can help us to better understand current events and claims by the media. For example, the news coverage of the shooting of Michael Brown in Ferguson, Missouri often reported that Ferguson is predominately black, while the police officers are predominately white. This video by PBS Newshour The post

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3-step lesson, going into the life of machine learning

July 2, 2015
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3-step lesson, going into the life of machine learning

Automatic Machine Learning Introduction "I want to develop a model that automatically learns over time", a really challenging objective. We'll develop in this post a procedure that loads data, build a model, make predictions and, if something chang...

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