The 'groups' argument should be a factor, which explicitly defines the
ordering of its levels. Otherwise it is converted to a factor using
the default ordering which is alphabetical. You can make a factor
ordered by occurence as, eg., factor(z, levels = unique(z)). Or use
reorder().

Note that data attachments don't work on this list. After constructing
a minimal example, it is best to dump the required objects in a
pastable form using dput().

I'm guessing you have some reason that you are not using mapplot()...

-Felix

On Saturday, May 15, 2010, Anderson, Chris
<chris.ander...@paradigmcorp.com> wrote:
> I am trying to create a map with selected states based on highest to lowest 
> mean cost. The following code properly selects the correct states, and the 
> legend is properly color coded with ranges, but the colors per range does not 
> match the state colors. I need help getting the state colors to match the 
> ranges outlined in the legend. I have tried ordering the mean amounts and 
> this correctly creates the vector of colors in the correct order, but when 
> applied to the map the colors don't match. Attached is the R dataset of my 
> data. Please help me tweak the map so the colors are properly assigned.
>
> # Get the entire US map for use later.
> us.map <- map("state", plot = FALSE, fill = TRUE)
>
> # Calculate the range of the map (with extra margins).
> xl <- extendrange(us.map$range[1:2])
> yl <- extendrange(us.map$range[3:4])
>
> library(maps)
> library(lattice)
> library(latticeExtra)
> library(RColorBrewer) # creates nice color schemes
> library(classInt)
>
>
> plotclr <- brewer.pal(nclr,"PuRd")
> class <- classIntervals(NatSTSummaryHigh.abi$STMean, nclr, style="fisher" )
> colcode <- findColours(class, plotclr)
>
>
> # Plot a multi-panel map of all the states, and colour
> xyplot(y~x | NatSTSummaryHigh.abi$PrimaryDX, data = 
> state.center,groups=names(attr(colcode, "table")),
>     main="High Cost States by Diagnosis ( > National Avg)",
>     xlim = xl, ylim = yl, scales = list(draw=FALSE),
>     aspect = "iso",
>     xlab = NULL, ylab = NULL,
>     strip = strip.custom(var.name="Diagnosis", sep=": ",
>     strip.names=TRUE, strip.levels=TRUE),
>     auto.key=list(border=TRUE,space="right",text=names(attr(colcode, 
> "table"))),
>     par.settings = simpleTheme(pch=16,col=attr(colcode, "palette"),cex=0.9),
>      subscripts = TRUE,
>     panel = function(..., subscripts) {
>         # Plot the entire US map.
>         panel.polygon(us.map$x,us.map$y)
>         # Select the states to plot.
>         core.states=map("state", 
> regions=NatSTSummaryHigh.abi$JurisdtnStateName[subscripts],
>             plot=FALSE, fill=TRUE)
>
>         # Plot the states.
>         panel.polygon(core.states$x, core.states$y,
>             col = trellis.par.get("superpose.line")$col)
>     } )
>
>
> Chris Anderson
> Data Analyst
> Medical Affairs
> wk: 925-677-4870
> cell: 707-315-8486
> Fax:925-677-4670
>
>
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> Paradigm Management Services, LLC, please visit 
> <br>http://www.paradigmcorp.com <br>
>

-- 
Felix Andrews / 安福立
Postdoctoral Fellow
Integrated Catchment Assessment and Management (iCAM) Centre
Fenner School of Environment and Society [Bldg 48a]
The Australian National University
Canberra ACT 0200 Australia
M: +61 410 400 963
T: + 61 2 6125 4670
E: felix.andr...@anu.edu.au
CRICOS Provider No. 00120C
-- 
http://www.neurofractal.org/felix/

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