WOW Richard. Nice. This really did the trick.  I will continue to work
at it to tweak things.

This community is great. Thanks so much all of you. I am making it a
priority to be rid of my noob status.

Kenneth Stephen Dyson
Chercheur postdoctoral
Groupe de recherche sur le système nerveux central (GRSNC)

Université de Montréal
Département de physiologie
2960, chemin de la tour, bureau 4130
Montréal (Québec) Canada H3T 1J4
Tel: (514) 343-6111 ext 3333
Courriel: kenneth.dyson@umontreal.ca
Site Web: http://sites.google.com/site/dysonsphere23/
<cid:part2.07070102.01090309@gmail.com>
On 12-10-31 08:19 PM, Richard M. Heiberger [via R] wrote:
> I would use bwplot in lattice for this example.
>
> library(lattice)
> library(latticeExtra)
> mydata$dtime <- factor(mydata$dtime)
> useOuterStrips(bwplot(BRCLNET ~ dtime | side * group, data=mydata,
> xlab="time"))
>
> On Wed, Oct 31, 2012 at 3:45 PM, Rui Barradas <[hidden email]
> </user/SendEmail.jtp?type=node&node=4648089&i=0>> wrote:
>
> > Hello,
> >
> > Like this?
> >
> >
> > library(ggplot2)
> > set.seed(3101)
> > mydata <- data.frame(
> >      BRCLNET = rnorm(1000),
> >      group = rep(c("1", "2"), each = 500),
> >        side = sample(c("Left", "Middle", "Right"), 1000, replace =
> TRUE) ,
> >      dtime = rep(1:10, 100))
> >
> >
> >
> > p  <-  ggplot(mydata , aes(factor(dtime), BRCLNET, fill = side)) +
> >          geom_boxplot() +
> >          facet_grid(group~side)
> > p
> >
> >
> > Note that it's factor(dtime) and facet_grid(), not facet_wrap()
> >
> > Hope this helps,
> >
> > Rui Barradas
> > Em 31-10-2012 17:33, dysonsphere escreveu:
> > > ok this is close, thanks for your effort
> > >
> > > i will be more specific about my data set now, maybe that will help.
> > >
> > > there are 2 cats, labeled rs29 and rs30
> > > there are a number of experimental results, i will make a graph
> set for
> > > each one. for example we can look at the results of BRCLNET.
> > > the tasks are devided into right middle and left
> > > the tasks are performed over time 1 to 10.
> > >
> > > i was a boxplot per cat per side (1 left 1 middle 1 right) over
> the time
> > (1
> > > to 10)
> > >
> > > at this point I have adjusted the code you sent me to this:
> > > mydata  <-  data.frame(BRCLNET, cat, side, group)
> > >
> > > mydata then gives me a list of 4 columns: BRCLNET, cat, side, time
> > > that is perfect
> > >
> > > then:
> > > ggplot(mydata , aes( group, BRCLNET, fill = cat ))+ geom_boxplot() +
> > > +                             facet_wrap(~side)
> > >
> > > this gives me a figure divided into 3 columns: LEFT MIDDLE RIGHT
> > > with 2 boxes in each (RS29 and RS30). the yaxis is labeled BRCLNET
> and
> > the
> > > xaxis is labeled time. but there is not a separate box for each time
> > point.
> > > there are only 2 boxes per plot.
> > >
> > > i would like to have six separate plots:
> > > 1. LEFT RS29 BRCLNET over time (10 boxes)
> > > 2. MIDDLE RS29 BRCLNET overtime (10 boxes)
> > > .....
> > > 6. RIGHT RS30 BRCLNET over time
> > >
> > > thanks for your help
> > >
> > >
> > > On Wed, Oct 31, 2012 at 8:16 AM, John Kane [via R] <
> > > [hidden email] </user/SendEmail.jtp?type=node&node=4648089&i=1>>
> wrote:
> > >
> > >> I am not sure I understand exactly what you want but does this do
> > anything
> > >> like what you want?
> > >>
> > >> library(ggplot2)
> > >> mydata  <-  data.frame(result = rnorm(100), group = rep(c("1", "2"),
> > each
> > >> = 50),
> > >>                         side = sample(c("L", "R"), 100, replace =
> TRUE)
> > ,
> > >> dtime = rep(1:10, each=10))
> > >>
> > >> p  <-  ggplot(mydata , aes( group, result, fill = side ))+
> > geom_boxplot()
> > >> +
> > >>                              facet_wrap(~dtime)
> > >> p
> > >>
> > >> John Kane
> > >> Kingston ON Canada
> > >>
> > >>
> > >>> -----Original Message-----
> > >>> From: [hidden email]<
> > http://user/SendEmail.jtp?type=node&node=4647989&i=0>
> > >>> Sent: Tue, 30 Oct 2012 11:21:49 -0700 (PDT)
> > >>> To: [hidden email]<
> > http://user/SendEmail.jtp?type=node&node=4647989&i=1>
> > >>> Subject: [R] boxplots of various levels
> > >>>
> > >>> noob here
> > >>> trying to make boxplots of some data
> > >>> i would like to separate the boxplots according to conditons of
> various
> > >>> levels
> > >>> for example:
> > >>>
> > >>> i have
> > >>> group:1 and 2, each group performed tests consisting of
> > >>> condition A,B,C,D
> > >>> side: left and right
> > >>> time: 1 to 10
> > >>>
> > >>> I would like separate boxplots of the results (x) of the tests
> > (numeric)
> > >>> for
> > >>> each group under each condition on each side over time.
> > >>>
> > >>> so far i have set it up like this:
> > >>> boxplot(test$x~test$time)
> > >>> this gives me the plot for all vaues of x in each time bin.
>  basicaly i
> > >>> would need a command that tells R to include only the data that
> agrees
> > >>> with
> > >>> the group, condition, and side I set.
> > >>> something like
> > >>> boxplot(test$x~test$time) where
> > >>> test$group=1,test$condition=A,test$side=left
> > >>>
> > >>> can this be done?
> > >>>
> > >>>
> > >>>
> > >>>
> > >>> --
> > >>> View this message in context:
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