R help - May 2010 - color lines by group membership in spaghetti plot

Greetings,

I am new to R.  Right now I'm most interested in the spaghetti plots
of achievement over time by student ID associated with longitudinal
analysis.  How can I do a spaghetti plot of all students, but color
the lines by group membership such as gender or race, and indicate
this color scheme in the legend?  Any advice would be much appreciated.

Jack

Jack B. Monpas-Huber, Ph.D.
Director of Assessment & Student Information
Shoreline Public Schools
18560 1st Ave NE
Shoreline, WA 98155
(206) 368-4774 Office
(206) 947-9926 Cell
Shoreline Assessment Web site
My Web site


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Hi:

Here's an example from the ggplot2 package using the Orthodont data from
Pinheiro & Bates (2000):

library(nlme)
library(ggplot2)

p <- ggplot(data = Orthodont, aes(x = age, y = distance, group = Subject,
                  colour = Sex))
p + geom_line()

?Orthodont          will give you some information about the data set.

See http://had.co.nz/ggplot2/ for more information about the package. Note
that the two packages
have to be installed from CRAN first before you can use them.

HTH,
Dennis

On Fri, May 14, 2010 at 9:52 AM, Jack Monpas-Huber <
jack.monpas.huber@shorelineschools.org> wrote:
> Greetings,
>
> I am new to R.  Right now I'm most interested in the spaghetti plots
> of achievement over time by student ID associated with longitudinal
> analysis.  How can I do a spaghetti plot of all students, but color
> the lines by group membership such as gender or race, and indicate
> this color scheme in the legend?  Any advice would be much appreciated.
>
> Jack
>
> Jack B. Monpas-Huber, Ph.D.
> Director of Assessment & Student Information
> Shoreline Public Schools
> 18560 1st Ave NE
> Shoreline, WA 98155
> (206) 368-4774 Office
> (206) 947-9926 Cell
> Shoreline Assessment Web site
> My Web site
>
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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