ggplot provides a new system for drawing graphics in R, based on the
Grammar of Graphics. It combines the advantages of both base and
lattice graphics: conditioning and shared axes are handled
automatically, and you can still build up a plot step by step from
multiple data sources. It also implements a more sophisticated
multidimensional conditioning system and a consistent interface to map
data to visual attributes. ggplot (along with reshape) received the
John Chambers Award for Statistical Computing.
ggplot is available now from CRAN (install.packages("ggplot")) and
more information is available at my website (http://had.co.nz/ggplot)
including copies of talks, examples, and a guide showing how to
convert your existing lattice code.
To get started I recommend you look at:
* the introductory vignette: vignette("introduction", "ggplot")
* help for the quick plotting command: ?qplot
* help for the full plotting commands: ?ggplot
I want to provide great documentation, so if there is anything you
think I am missing, please let me know.
Regards,
Hadley
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ggplot: a new system for drawing graphics in R
2 messages · Hadley Wickham, Timm Danker
3 days later
I think the ggplot package is extremely promising. Parts of the dokumentation are very good alread, e.g I recently managed to write my first own grob function. One thing I am missing in the dokumentation is a little more detail on how to modify the colours of a plot. Specifically, if I have: xx<-"x y g bar 1 1 1 1 1 5 2 3 2 3 1 3 2 4 2 2" df=read.table(textConnection(xx),header=T);df ggplot(df, aes=list(y=y, x=factor(x),bar=bar))->p ggbar(p, aes=list(fill=g,barcolour=g+1), avoid="dodge", sort=TRUE) ... I get a beatiful barplot, but would like to change the colors of the bars. I tried ?scfill and did not understand too much of the help file. I think some more examples would do it. Timm hadley wickham schrieb:
ggplot provides a new system for drawing graphics in R, based on the
Grammar of Graphics. It combines the advantages of both base and
lattice graphics: conditioning and shared axes are handled
automatically, and you can still build up a plot step by step from
multiple data sources. It also implements a more sophisticated
multidimensional conditioning system and a consistent interface to map
data to visual attributes. ggplot (along with reshape) received the
John Chambers Award for Statistical Computing.
ggplot is available now from CRAN (install.packages("ggplot")) and
more information is available at my website (http://had.co.nz/ggplot)
including copies of talks, examples, and a guide showing how to
convert your existing lattice code.
To get started I recommend you look at:
* the introductory vignette: vignette("introduction", "ggplot")
* help for the quick plotting command: ?qplot
* help for the full plotting commands: ?ggplot
I want to provide great documentation, so if there is anything you
think I am missing, please let me know.
Regards,
Hadley
_______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html