Thank you Ista.
On Wed, Mar 30, 2011 at 5:42 PM, Ista Zahn-2 [via R]
<ml-node+3418450-470227041-224...@n4.nabble.com> wrote:
> Use facetting:
>
> sets <- rbind(cbind(set="set1", set), cbind(set="set2", set2))
> ggplot(sets, aes(x = time, y = hours)) +
> Â geom_area(colour = 'red', fill = 'red', alpha = 0.5) +
> Â geom_area(stat = 'smooth', span = 0.2, alpha = 0.3) +
> Â ylim(0,40) +
> Â facet_grid(set ~ .)
>
> Best,
> Ista
>
> On Wed, Mar 30, 2011 at 10:54 AM, Werner Heijstek <[hidden email]> wrote:
>> I'm going to go ahead and shamelessly bump this question up the list.
>> I saw that out of the 34 posts yesterday, only 9 did not receive an
>> answer. Perhaps someone who finds this question trivial is checking
>> his e-mail right now :)
>>
>> Werner
>>
>> On Tue, Mar 29, 2011 at 10:20 AM, jovian <[hidden email]> wrote:
>>> Hello,
>>>
>>> I asked a similar question before but in an existing thread. I am not
>>> sure
>>> if it is proper etiquette to repost a similar question as a new tread, I
>>> think in this case, it might be because this way more people can see it
>>> and
>>> perhaps learn from it. (Also, part of the existing thread became private)
>>>
>>> I want to know how to plot multiple ggplot area plots on top of one
>>> another
>>> so that the same x-axis is shared?
>>>
>>> This solution simply stitches multiple plots on top of each other:
>>>
>>> vp.layout <- function(x, y) viewport(layout.pos.row=x, layout.pos.col=y)
>>> arrange <- function(..., nrow=NULL, ncol=NULL, as.table=FALSE) {
>>> Â dots <- list(...)
>>> Â n <- length(dots)
>>> Â if(is.null(nrow) & is.null(ncol)) { nrow = floor(n/2) ; ncol =
>>> ceiling(n/nrow)}
>>> Â if(is.null(nrow)) { nrow = ceiling(n/ncol)}
>>> Â if(is.null(ncol)) { ncol = ceiling(n/nrow)}
>>> Â Â Â Â ## NOTE see n2mfrow in grDevices for possible alternative
>>> grid.newpage()
>>> pushViewport(viewport(layout=grid.layout(nrow,ncol) ) )
>>> Â ii.p <- 1
>>> Â for(ii.row in seq(1, nrow)){
>>> Â ii.table.row <- ii.row
>>> Â if(as.table) {ii.table.row <- nrow - ii.table.row + 1}
>>> Â for(ii.col in seq(1, ncol)){
>>> Â ii.table <- ii.p
>>> Â if(ii.p > n) break
>>> Â print(dots[[ii.table]], vp=vp.layout(ii.table.row, ii.col))
>>> Â ii.p <- ii.p + 1
>>> Â }
>>> Â }
>>> }
>>>
>>> set <- read.table(file="http://www.jovian.nl/set.csv";, head=1, Â sep=",")
>>> set2 <- read.table(file="http://www.jovian.nl/set2.csv";, head=1,
>>> Â sep=",")
>>> library(ggplot2)
>>> s <- ggplot(set, aes(x = time, y = hours)) + geom_area(colour = 'red',
>>> fill
>>> = 'red', alpha = 0.5) +
>>> Â Â geom_area(stat = 'smooth', span = 0.2, alpha = 0.3) + ylim(0,40)
>>> s1 <- ggplot(set2, aes(x = time, y = hours)) + geom_area(colour = 'red',
>>> fill = 'red', alpha = 0.5) +
>>> Â Â geom_area(stat = 'smooth', span = 0.2, alpha = 0.3) + ylim(0,40)
>>> arrange(s,s1,ncol=1)
>>>
>>>
>>> The arrange() function was taken from
>>>
>>> http://gettinggeneticsdone.blogspot.com/2010/03/arrange-multiple-ggplot2-plots-in-same.html.
>>> In this example, the x-axes are only similar because the data sets have
>>> the
>>> same range. In effect nothing more happens than that two images are
>>> plotted
>>> on top of one another. Now how to "merge" these two (and later more) area
>>> plots on top of each other so that they share the same x-axis (so that
>>> only
>>> one x-axis would be necessary on the bottom of the plot)?
>>>
>>> Thanks,
>>>
>>> Werner
>>>
>>>
>>> --
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>>>
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>>
>> ______________________________________________
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>> PLEASE do read the posting guide
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>>
>
>
> --
> Ista Zahn
> Graduate student
> University of Rochester
> Department of Clinical and Social Psychology
> http://yourpsyche.org
>
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