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 <ruipbarra...@sapo.pt> 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] <
> > ml-node+s789695n4647989...@n4.nabble.com> 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:
> >>>
> http://r.789695.n4.nabble.com/boxplots-of-various-levels-tp4647917.html
> >>> Sent from the R help mailing list archive at Nabble.com.
> >>>
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