For the first question, add a groups argument. E.g. barchart(HSI ~ Scenario | Region, Wbirdsm, groups = HydroState)
Also note that using Wbirdsm$HSI makes your call less readable, so I added the data argument. For your second question, setting the key does not set the color theme. You want to set the colors using par.setting. E.g. dotplot(HSI ~ Scenario | Region, Wbirdsm, groups = HydroState, par.settings = list(superpose.symbol = list(col = c("red", "green", "blue"))), auto.key = list(space = "right")) Then use auto.key instead of key. HTH, --sundar On Wed, Mar 25, 2009 at 7:02 AM, <steve_fried...@nps.gov> wrote: > > Hello, this is a request for assistance that I submitted earlier, this time > with the dataset. My mistake for taking up bandwidth. I've also rephrased > the question to address an additional concern. > > I'm working on a windows XP machine with R 2.8.1 > > 1). I'd like a barchart (or other lattice type display) HSI ~ of the three > factors (Region, Scenario and HydroState). > However barchart complains > >> library(reshape) >> library(lattice) > >> barchart(Wbirdsm$HSI ~ WBirdsm$Scenario | WBridsm$Region) > >> # This works, but only marginally. I'd like specify the interaction > between the variables ( Scenario and HydroState) >> What is the best way to combine these factors so they can be treated > as a single variable and rewrite the barchart call? > >> barchart(Wbirdsm$HSI ~ WBirdsm$"interaction between Scenario and > HydroState") ~ Wbirdsm$Region) > > > > The second question refers back to my original posting. > 2) # using dotplot instead of barchart I use the following code. > >> key.variable <- list(space = "right", text = > list(levels(wbirdm$variable)), points = list(pch = 1:3, > col=c("red","green", "blue"))) >> dotplot(wbirdm$value ~ wbirdm$variable | wbirdm$Region, col=c(1:9), pch= > rep(c(1:3), key = key.variable, groups=wbirdm$variable, ylab= "Mean > HSI")) > >> # However the key legend doesn't appear in the plot with this sequence > and the labels are too along the panels. Is there a way to address this? > > > thank you very much for the assistance. > > Steve > > > This is part of the larger data base, after I passed it thru melt. > > > > Region Species Scenario HydroState > HSI > 1 Eastern Panhandle WBLong NSM Ave > 0.165945170 > 2 Eastern Panhandle WBLong NSM Dry > 0.056244263 > 3 Eastern Panhandle WBLong NSM Wet > 0.290692607 > 4 Eastern Panhandle WBLong ECB Ave > 0.165945170 > 5 Eastern Panhandle WBLong ECB Dry > 0.056244263 > 6 Eastern Panhandle WBLong ECB Wet > 0.290692607 > 7 Eastern Panhandle WBLong CERP Ave > 0.165945170 > 8 Eastern Panhandle WBLong CERP Dry > 0.056244263 > 9 Eastern Panhandle WBLong CERP Wet > 0.290692607 > 10 Long Pine Key / South Taylor Slough WBLong NSM Ave > 0.151159734 > 11 Long Pine Key / South Taylor Slough WBLong NSM Dry > 0.067348863 > 12 Long Pine Key / South Taylor Slough WBLong NSM Wet > 0.244440738 > 13 Long Pine Key / South Taylor Slough WBLong ECB Ave > 0.151159734 > 14 Long Pine Key / South Taylor Slough WBLong ECB Dry > 0.067348863 > 15 Long Pine Key / South Taylor Slough WBLong ECB Wet > 0.244440738 > 16 Long Pine Key / South Taylor Slough WBLong CERP Ave > 0.151159734 > 17 Long Pine Key / South Taylor Slough WBLong CERP Dry > 0.067348863 > 18 Long Pine Key / South Taylor Slough WBLong CERP Wet > 0.244440738 > 19 Northern Taylor Slough WBLong NSM Ave > 0.115503291 > 20 Northern Taylor Slough WBLong NSM Dry > 0.005617136 > 21 Northern Taylor Slough WBLong NSM Wet > 0.252428530 > 22 Northern Taylor Slough WBLong ECB Ave > 0.115503291 > 23 Northern Taylor Slough WBLong ECB Dry > 0.005617136 > 24 Northern Taylor Slough WBLong ECB Wet > 0.252428530 > 25 Northern Taylor Slough WBLong CERP Ave > 0.115503291 > 26 Northern Taylor Slough WBLong CERP Dry > 0.005617136 > 27 Northern Taylor Slough WBLong CERP Wet > 0.252428530 > 28 East Slough WBLong NSM Ave > 0.313215457 > 29 East Slough WBLong NSM Dry > 0.046917053 > 30 East Slough WBLong NSM Wet > 0.447002596 > 31 East Slough WBLong ECB Ave > 0.313215457 > 32 East Slough WBLong ECB Dry > 0.046917053 > 33 East Slough WBLong ECB Wet > 0.447002596 > 34 East Slough WBLong CERP Ave > 0.313215457 > 35 East Slough WBLong CERP Dry > 0.046917053 > 36 East Slough WBLong CERP Wet > 0.046917053 > 37 Shark Slough WBLong NSM Ave > 0.479722873 > 38 Shark Slough WBLong NSM Dry > 0.232024256 > 39 Shark Slough WBLong NSM Wet > 0.449336931 > 40 Shark Slough WBLong ECB Ave > 0.479722873 > 41 Shark Slough WBLong ECB Dry > 0.232024256 > 42 Shark Slough WBLong ECB Wet > 0.449336931 > 43 Shark Slough WBLong CERP Ave > 0.479722873 > 44 Shark Slough WBLong CERP Dry > 0.232024256 > 45 Shark Slough WBLong CERP Wet > 0.449336931 > 46 Northeast Shark Slough WBLong NSM Ave > 0.326464412 > 47 Northeast Shark Slough WBLong NSM Dry > 0.233158644 > 48 Northeast Shark Slough WBLong NSM Wet > 0.199261704 > 49 Northeast Shark Slough WBLong ECB Ave > 0.326464412 > 50 Northeast Shark Slough WBLong ECB Dry > 0.233158644 > > > > > Steve Friedman Ph. D. > Spatial Statistical Analyst > Everglades and Dry Tortugas National Park > 950 N Krome Ave (3rd Floor) > Homestead, Florida 33034 > > steve_fried...@nps.gov > Office (305) 224 - 4282 > Fax (305) 224 - 4147 > > ______________________________________________ > R-help@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. > ______________________________________________ R-help@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.