# Posts Tagged ‘ ggplot2 ’

## ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R” (Part 12)

August 18, 2009
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This is the 12th post in a series attempting to recreate the figures in Lattice: Multivariate Data Visualization with R (R code available here) with ggplot2. Previous parts in this series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7, Part 8, Part 9, Part 10, Part 11. Chapter 13 – Advanced

## ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R” (Part 11)

August 13, 2009
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This is the 11th post in a series attempting to recreate the figures in Lattice: Multivariate Data Visualization with R (R code available here) with ggplot2. Previous parts in this series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7, Part 8, Part 9, Part 10. Chapter 11 – Manipulating the “trellis”

## ggplot2: more wicked-cool plots in R

July 20, 2009
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As far as I know there are 3 different systems for producing figures in R: (1) base graphics, included with R, (2) the lattice package, and (3) ggplot2, one of the newer plotting systems which is, according to the creator Hadley Wickham, "based on the grammar of graphics, which tries to take the good parts of base and lattice...

## Simple Data Visualization

July 16, 2009
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OK, so, I know I already raved about one Hadley Wickham project and how it has changed my life last week. But what can I say, the man is a genius. And if you are using R (and let’s face it, you should be) and you want simple sexy graphs made quick, the man has

## Two plot with a common legend – base graphics

June 6, 2009
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If you need to share a common legend between two graphs using the ggplot2 package/paradigm take a look at this post from the Learning R blog.The code below solves the same task using the R base graphics.png( "2plot1legend.png", width = 480, height = 68...

## Alternative implementations using ggplot2

March 25, 2009
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Here and here, you can find alternative implementations of two plots  (1, 2) I created time ago using R basic graphic. The author recreates the plots taking advantage of the excellent ggplot2 package.