Posts Tagged ‘ ggplot ’

Sexy, Geeky Graphs using ggplot2 in R

April 22, 2011
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Sexy, Geeky Graphs using ggplot2 in R

So I’ve been looking for some data to play with while learning R, other than the data I’m analysing for various experiments and papers I’m working on. I thought to myself, “Hey, this R stuff is pretty geeky. Can I engage in a higher level of geekiness?” And I think I’ve found a way: using

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Historical Sources of Bond Returns

April 11, 2011
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Historical Sources of Bond Returns

As promised in Monitoring Sources of Bond Return, we can show more history if we use CPI instead of expected inflation (from the TIP inflation breakeven yield).  Here are the results with history back to 1953. From TimelyPortfolio However, mo...

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Monitoring Sources of Bond Return

April 8, 2011
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Monitoring Sources of Bond Return

Here is a way to monitor bond return sources in R.  In the next iteration, I will use CPI to add history to the series. From TimelyPortfolio So right now, you can expect about a 5% return from bonds.  How much of that is real return is u...

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The housing bubble by city

March 17, 2011
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The housing bubble by city

The housing bubble by city. Miami sailed high and fell far. Detroit rose modestly and but dropped more than it went up. Dallas held steady. DC is enjoying a bit of renewed growth, but are in and New York yet to fall?

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Parsing and plotting time series data

January 15, 2011
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Parsing and plotting time series data

This morning I came across a post which discusses the differences between scala, ruby and python when trying to analyse time series data. Essentially, there is a text file consisting of times in the format HH:MM and we want to get an idea of its distribution. Tom discusses how this would be a bit clunky

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how to speak ggplot2 like a native, and Predictive Analytics World

October 24, 2010
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I was recently given the opportunity to re-present my ggplot2 talk, which I originally gave to the NYC R Meetup, to the DC R Meetup group. The Meetup was held co-located with the Predictive Analytics World conference in Alexandria, VA. (More on my thoughts on PAW below…) Contentwise, I made only small changes, changing a

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Plotting Time Series data using ggplot2

September 30, 2010
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Plotting Time Series data using ggplot2

There are various ways to plot data that is represented by a time series in R. The ggplot2 package has scales that can handle dates reasonably easily. Fast Tube by Casper As an example consider a data set on the number of views of the you tube channel ramstatvid. A short snippet of the data is shown

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Clustergram: visualization and diagnostics for cluster analysis (R code)

June 15, 2010
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Clustergram: visualization and diagnostics for cluster analysis (R code)

About Clustergrams In 2002, Matthias Schonlau published in “The Stata Journal” an article named “The Clustergram: A graph for visualizing hierarchical and . As explained in the abstract: In hierarchical cluster analysis dendrogram graphs are used to visualize how clusters are formed. I propose an alternative graph named “clustergram” to examine how cluster members are assigned to clusters as...

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Displaying data using level plots

May 3, 2010
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Displaying data using level plots

A level plot is a type of graph that is used to display a surface in two rather than three dimensions – the surface is viewed from above as if we were looking straight down and is an alternative to a contour plot – geographic data is an example of where this type of graph

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Summarising data using box and whisker plots

April 25, 2010
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Summarising data using box and whisker plots

A box and whisker plot is a type of graphical display that can be used to summarise a set of data based on the five number summary of this data. The summary statistics used to create a box and whisker plot are the median of the data, the lower and upper quartiles (25% and 75%)

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