R help - Jan 2008 - Concatenate xyplots

Dear R-community,
 
I created 5 different xyplots and graphed all of them with the print command on
one page (e.g.
 
 print(graph1, split=c(1,1,1,5), more = T)
 
... print(graph5, split=c(1,5,1,5), more =T) 
 
Using the above commands separates each graph by a white space. However, since 
the graphs do share the same x-axis, I was wondering if there is a way to
concatenate graph1 through 5 so that the white space disappears?
 
Thanks for your time and help
 
Best,
 
Jan
 
************************************************************************Jan
EitelPhD Candidate of Remote Sensing Room 12 CNRCollege of Natural
ResourcesUniversity of IdahoMoscow, ID 83844-1133Phone: (208)596-9277Em:
jeitel@vandals.uidaho.eduhttp://www.cnrhome.uidaho.edu/default.aspx?pid=68846
	[[alternative HTML version deleted]]

On 1/29/08, jeitel at vandals.uidaho.edu <jeitel at vandals.uidaho.edu>
wrote:
> Dear R-community,
>
> I created 5 different xyplots and graphed all of them with the print
command on one page (e.g.
>
>  print(graph1, split=c(1,1,1,5), more = T)
>
> ... print(graph5, split=c(1,5,1,5), more =T)
>
> Using the above commands separates each graph by a white space. However,
since
> the graphs do share the same x-axis, I was wondering if there is a way to
concatenate
> graph1 through 5 so that the white space disappears?
It is very likely that there is, but we can't really say without
knowing all the little details that you know and we don't. So if you
want any real help, please give us a minimal reproducible example as
the footer of every r-help message asks:
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
-Deepayan

OK, this was a silly example.

This one should be not as silly:

## Created example dataset

data1 = matrix(1:12, nrow=4, ncol=3)

data1 = data.frame(matrix(data1, 4, 3, byrow = T))

colnames(data1) = c("y1", "y2","x")

data2 = data.frame(c(1,1,2,2))

colnames(data2) =c("z")

data = cbind(data1,data2)

load(lattice)
 
## Create 2 graphs with the xyplot command

graph1=  xyplot(y1~x|z, data = data)
graph2 = xyplot(y2~x|z, data = data)


## Print both graphs on the same page

print(graph1, split = c(1,1,1,2), more = T)
print(graph2, split = c(1,2,1,2), more = F)

## There is a lot of white space between both graphs in the y direction.
## Since the plots share the same x axis I was wondering if there is a way
to
## concatenate the plots to eliminate the white space in the y direction?








Deepayan Sarkar wrote:
> 
> On 1/30/08, eite2335 <jeitel at vandals.uidaho.edu> wrote:
>>
>> OK - here is an example:
>>
>> ## Create example data
>>
>> data = matrix(1:8, nrow=4, ncol=2)
>>
>> ## Name columns "x" and "y"
>>
>> colnames(data) = c("x", "y")
>>
>> data = data.frame(data)
>>
>> ## Create 5 graphs with the xyplot command
>>
>> graph1=  xyplot(y~x, data = data)
>> graph2 = xyplot(y~x, data = data)
>> graph3 = xyplot(y~x, data = data)
>> graph4 = xyplot(y~x, data = data)
>> graph5 = xyplot(y~x, data = data)
>>
>> ## Print all five graphs on the same page
>>
>> print(graph1, split = c(1,1,1,5), more = T)
>> print(graph2, split = c(1,2,1,5), more = T)
>> print(graph3, split = c(1,3,1,5), more = T)
>> print(graph4, split = c(1,4,1,5), more = T)
>> print(graph5, split = c(1,5,1,5), more = F)
>>
>>
>> ## Note that there is a lot of white space between each graph in the y
>> direction.
>> ## Since the plots share the same x axis I was wondering if there is a
>> way
>> to
>> ## concatenate the plots to eliminate the "wasted" white
space in the y
>> direction
>> ## and make the graphs themselves larger?
> 
> This should work:
> 
> graph1[c(1, 1, 1, 1, 1)]
> 
> Of course, a silly example will only get you a silly solution.
> 
> -Deepayan
> 
> ______________________________________________
> R-help at 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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