Advanced R Graphics

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Advanced R Graphics

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Advanced Graphics The Dataminingtools.net Team

Trellis Graphics:the lattice package Trellis plots are designed to be easy to interpret and at the same time provide some modern and sophisticated plotting styles, such as multi-panel conditioning. Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

Lattice Package > xyplot(lat ~ long, data=quakes, pch=“+") Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

Lattice Package > tplot<-xyplot(lat ~ long, data=quakes, pch="X") > tplot2 <- update(tplot, main="Earthquakes in the pacific ocean") > print(tplot2) Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

Lattice functions Image Source: http://www.stat.auckland.ac.nz/~paul/RGraphics/RGraphicsChapters-1-4-5.pdf Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

3-d Plots using cloud() > cloud(depth ~ lat*long, data=quakes, pch="+") Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

3-d Plots using cloud() One of the very powerful features of Trellis Graphics is the ability to specify conditioning variables within the formula argument. Something of the form y ~ x | g indicates that several plots should be generated, showing the variable y against the variable x for each level of the variable g. Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

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Advanced R Graphics

1. Advanced Graphics The Dataminingtools.net Team

2. Trellis Graphics:the lattice package Trellis plots are designed to be easy to interpret and at the same time provide some modern and sophisticated plotting styles, such as multi-panel conditioning. Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

3. Lattice Package > xyplot(lat ~ long, data=quakes, pch=“+") Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

4. Lattice Package > tplot<-xyplot(lat ~ long, data=quakes, pch="X") > tplot2 <- update(tplot, main="Earthquakes in the pacific ocean") > print(tplot2) Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

5. Lattice functions Image Source: http://www.stat.auckland.ac.nz/~paul/RGraphics/RGraphicsChapters-1-4-5.pdf Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

6. 3-d Plots using cloud() > cloud(depth ~ lat*long, data=quakes, pch="+") Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

7. 3-d Plots using cloud() One of the very powerful features of Trellis Graphics is the ability to specify conditioning variables within the formula argument. Something of the form y ~ x | g indicates that several plots should be generated, showing the variable y against the variable x for each level of the variable g. Image source: www.stat.auckland.ac.nz/~paul/RGraphics/chapter1.pdf

Advanced R Graphics

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