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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>>> and provide commented, minimal, self-contained, reproducible code.
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