[R] "Groups" in XYPLOT

Thomas Colson tpcolson at ncsu.edu
Sun Mar 18 05:48:05 CET 2007 

Sorry 'bout that.

Here's about as simple as I can get it:

#First dataset
N <- 25
x <- round(rnorm(N),2)
y <- round(rnorm(N),2)
df <- data.frame(x = x, y = y)
#Plot it
xyplot(df$x~df$y,xlab="Test 1 Data",ylab="P(A>A*)")

#Second Dataset
N <- 20
x <- round(rnorm(N),2)
y <- round(rnorm(N),2)
df <- data.frame(x = x, y = y)
#How to get this in the same panel as plot 1?
xyplot(df$x~df$y,xlab="Test 2 Data",ylab="P(A>A*)")




As far as combining that data into one dataset....I'm trying to plot both
datasets into one panel to show the differences in the plots of the
two...utilizing the coloring/symbology funtions...wouldn't combining them
null that capability? 

Thanks for your replies!


Thomas Colson, PhD
North Carolina State University
Department of Forestry and Environmental Resources
(919)673-8023
tpcolson at hotmail.com

Schedule: www4.ncsu.edu/~tpcolson   
-----Original Message-----
From: Andrew Robinson [mailto:A.Robinson at ms.unimelb.edu.au] 
Sent: Saturday, March 17, 2007 10:44 PM
To: Thomas Colson
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] "Groups" in XYPLOT

Hi again Thomas,

ah, sorry, I should be more precise.  Please construct a reproducible worked
example that does not require us to download 7 Mb of data.  You might also
try the suggestions that I made and let us know if they worked for you.

Cheers

Andrew

On Sat, Mar 17, 2007 at 10:37:46PM -0500, Thomas Colson wrote:
>  Thanks for the warning:
> Here is the link to the datasets, rather large at 2 and 5 mb. Another 
> note is that one set has more datapoints than the other, don't know if 
> this can be done with xyplot.
> http://www4.ncsu.edu/~tpcolson/coastcurvfreqs.txt
> http://www4.ncsu.edu/~tpcolson/coastslopefreqs.txt
> 
> Thomas Colson, PhD
> North Carolina State University
> Department of Forestry and Environmental Resources
> (919)673-8023
> tpcolson at hotmail.com
> 
> Schedule: www4.ncsu.edu/~tpcolson   
> -----Original Message-----
> From: Andrew Robinson [mailto:A.Robinson at ms.unimelb.edu.au]
> Sent: Saturday, March 17, 2007 10:15 PM
> To: Thomas Colson
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] "Groups" in XYPLOT
> 
> Hi Thomas,
> 
> sadly, the full code is not much help to us in the absence of the 
> data.  Can I suggest that you construct a reproducible worked example 
> to help explain your question?  For what it's worth I suspect that the 
> answer is that you need to join these datasets into one and theneitehr 
> use the groups argument, or the "+" protocol on the LHS of the plot
formula.
> 
> Cheers
> 
> Andrew
> 
> On Tue, Mar 27, 2007 at 04:51:55PM -0500, Thomas Colson wrote:
> > I'm not sure I'm barking up the right tree here, but would I need to 
> > make use of groups to plot two separate datasets within ONE panel in 
> > xyplot? The desired end result is a single xy plot of two separate 
> > (but similar in values and ranges).
> > 
> > Full code follows, xyplot code at bottom
> > 
> > 
> > 
> > 
> > 
> > #########Determine Frequencies
> > ##########coastal_slope
> > #needs the maptools package to read ESRI grid
> > require(maptools)
> > #import the flow slope grid
> > basin.map <- readAsciiGrid("C:/R_PLots/coastal_slp.asc",
> > colname="slope") basin_slope <- (basin.map$slope) #read the slopes 
> > into a dataframe
> > freqs<-as.data.frame(table(basin_slope))
> > #rank the frequencies based on each unique occerence, note, ranks 
> > from
> > 1 to n
> > r<-rank(freqs$basin_slope)
> > n<-length(r)
> > #determing the probability, n+1 insures there is no 100%, 1- 
> > reverses the order so #low slopes gets high probability of 
> > exceedence z<-cbind(Rank = r, PRank = 1-(r/(n+1))) #attach the 
> > probability to the table, result is high prob of exceed is in row 
> > with low slope #and low probabibility is in row with high slope 
> > freqs$rank<-z write.table(freqs, "C:/R_PLots/coastslopefreqs.txt", 
> > sep=",", col.names=TRUE, row.names=TRUE, quote=TRUE, na="NA")
> > 
> > ##########coastal_curvature
> > #needs the maptools package to read ESRI grid
> > require(maptools)
> > #import the curvature grid
> > basin.map <- readAsciiGrid("C:/R_PLots/coastal_crv.asc",
> > colname="curv") basin_curv <- (basin.map$curv) #read the curvs into 
> > a dataframe
> > freqs<-as.data.frame(table(basin_curv))
> > #rank the frequencies based on each unique occerence, note, ranks 
> > from
> > 1 to n
> > r<-rank(freqs$basin_curv)
> > n<-length(r)
> > #determing the probability, n+1 insures there is no 100%, 1- 
> > reverses the order so #low curvature gets high probability of 
> > exceedence z<-cbind(Rank = r, PRank = 1-(r/(n+1))) #attach the 
> > probability to the table, result is high prob of exceed is in row 
> > with low curv #and low probabibility is in row with high curv 
> > freqs$rank<-z write.table(freqs, "C:/R_PLots/coastcurvfreqs.txt", 
> > sep=",", col.names=TRUE, row.names=TRUE, quote=TRUE, na="NA")
> > 
> > 
> > 
> > 
> > 
> > ##############Make XYPLOT and export to ps coastcurv <- 
> > read.table("C:/R_PLots/coastcurvfreqs.txt", header=TRUE, sep=",", 
> > na.strings="NA", dec=".", strip.white=TRUE) 
> > xyplot(coastcurv$rank.PRank~coastcurv$basin_curv,scales=list(y=list(
> > lo
> > g=TRUE
> > ,at=c(.0001,.001,.01,.1,1)),x=list(log=TRUE,at=c(0.0001,0.001,0.01,0
> > .1
> > ,1,10)
> > )),xlab="Curvature",ylab="P(C>C*)")
> > dev.copy2eps(file="C:/R_PLots/coastcurv_cad.eps", width=8.0, 
> > height=8.0,
> > pointsize=10)
> > 
> > 
> > ########How to get this in the first plot graphic?
> > 
> > coastslope <- read.table("C:/R_PLots/coastslopefreqs.txt",
> > header=TRUE, sep=",", na.strings="NA", dec=".", strip.white=TRUE) 
> > xyplot(coastslope$rank.PRank~coastslope$basin_slope,scales=list(y=li
> > st
> > (log=T
> > RUE,at=c(.0001,.001,.01,.1,1)),x=list(log=TRUE,at=c(0.0001,0.001,0.0
> > 1,
> > 0.1,1,
> > 10))),xlab="Slope",ylab="P(S>S*)")
> > dev.copy2eps(file="C:/R_PLots/coastslope_cad.eps", width=8.0, 
> > height=8.0,
> > pointsize=10)
> > 
> > Thomas Colson, PhD
> > North Carolina State University
> > Department of Forestry and Environmental Resources
> > 
> > ______________________________________________
> > R-help at stat.math.ethz.ch 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.
> 
> --
> Andrew Robinson  
> Department of Mathematics and Statistics            Tel: +61-3-8344-9763
> University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
> http://www.ms.unimelb.edu.au/~andrewpr
> http://blogs.mbs.edu/fishing-in-the-bay/
> 
> ______________________________________________
> R-help at stat.math.ethz.ch 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.

--
Andrew Robinson  
Department of Mathematics and Statistics            Tel: +61-3-8344-9763
University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
http://www.ms.unimelb.edu.au/~andrewpr
http://blogs.mbs.edu/fishing-in-the-bay/

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