So, when you’re setting the position of text in ggplot, you may have to use the hjust and vjust commands. Depending on your demands, and if you don’t understand what they’re doing, they might seem hard to use. I found one script that... [Read more...]

This post continues with the theme of how to modify plots from within ggplot; today we will specifically looking at custom axis breaks. Plots later in the week will examine the commands to change text in the plot area. The various other shortcomings o... [Read more...]

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Economic geography of the eastern USA circa 1999, median incomes by zip code Code and data source to follow in a longer post. [Read more...]

I wrote before about heatmap tables as a better way of producing frequency or other tables, with a solution which works nicely in latex. It is possible to do them much more easily in ggplot2, like this library(Hmisc) library(ggplot2) library(reshape) data(HairEyeColor) P=t(HairEyeColor[,,2]) Pm=melt(... [Read more...]

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R has great support for Holt-Winter filtering and forecasting. I sometimes use this functionality, HoltWinter & predict.HoltWinter, to forecast demand figures based on historical data. Using the HoltWinter functions in R is pretty straightforward. Let's say our dataset looks as follows; demand [Read more...]

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This past week for work I had to create some plots to show the max, min, and median of a measure across the levels of a qualitative variable, and show the max and min of the same variable within a … Continue reading → [Read more...]

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Ever since I started using ggplot2 more often at work in order to do graphs, I’ve realized something about the use of colour in bar graphs vs. dot plots: When I’m looking at a graph displayed on the brilliant Viewsonic … Continue reading → [Read more...]

The main reason why I have usually chosen to use excel to make my plots at work is because I had difficulty feeding the summary stats in R into a plotting function.  One thing I learned this week is how … Continue reading → [Read more...]

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Stats Chat is an interesting kiwi site—managed by the Department of Statistics of the University of Auckland—that centers around the use and presentation of statistics in the media. This week there was an interesting discussion on one of those infographics … Continue reading → [Read more...]

A pint of R plotted an interesting dataset: intentional homicides in South America. I thought the graphs were pretty but I was unhappy about the way information was conveyed in the plots; relative risk should be very important but number … Continue reading → [Read more...]

Since 4th September 2010 we have had over 2,800 quakes (considering only magnitude 3+) in Christchurch. Quakes come in swarms, with one or few strong shocks, followed by numerous smaller ones and then the ocasional shock, creating an interesting data … Continue reading → [Read more...]