(This article was first published on

**Rronan » R**, and kindly contributed to R-bloggers)#### With `print()`

If you are an advanced R user, you probably know the lattice and the ggplot2 packages. They allow you to plot elegant graphics with less code (Hocking, 2009 and Sueur, 2010). If you know these two packages, you should hardly use `plot()`

for your graphs.

If you read my article on FastRWeb, you may have wanted to try it with ggplot2 or lattice graphs. Your graphics have perhaps not been plotted. You did a Google search and you just learned you need the `plot()`

function to properly display ggplot2 or lattice graphs with FastRWeb.

The code below shows how to reproduce the graph of `/var/FastRWeb/web.R/example1.png.R`

with lattice and ggplot2.

run <- function(...) { out("<!doctype html><html><head><title>Plots</title>", "<meta charset='UTF-8'/></head><body><h1>Some plots…</h1>", sep = "") X <- rnorm(100) Y <- rnorm(100) out("<h2>graphics</h2>") p <- WebPlot(580, 580) plot(x = X, y = Y, pch = 19) out(p) out("<h2>ggplot2</h2>") require(ggplot2) p <- WebPlot(580, 580) print(qplot(x = X, y = Y, pch = 19)) out(p) out("<h2>lattice</h2>") require(lattice) p <- WebPlot(580, 580) print(xyplot(x = Y ~ X, pch = 19)) out(p) out("</body></html>") done() }

With this script, you should see three graphics.

#### graphics

#### ggplot2

#### lattice

##### References

- Hocking T.
*Le package lattice pour visualiser les données multivariées*. Semin-R du MNHN, 15 Octobre 2009. - Sueur J.
*Une nouvelle génération de graphiques : introduction à ggplot2*. Semin-R du MNHN, 20 Mai 2010.

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