similar to: Help with lattice

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

I'd like to annotate an xyplot with an R^2 value, but can not find the syntax to define the superscript format for the text. I'd appreciate suggestions, xyplot(SharkSloughEggs.df$Sharkeggs.rel + SharkSloughEggs.df$SharkHatched.rel + SharkSloughEggs.df$SharkFlooded.rel + HSI.shark$MEAN ~ Year, pch=c(1,9,5,4), lty=c(1,6,3,4), lwd = c(2), col = c("black",

I'm working with Lattice graphics and I would like very much to color code the auto.key fill color with the same corresponding colors that I use in the panels. I've looked on the web for clues, and on the CRAN-R help sites searching on "trellis auto.key color" and variations, unfortunately the responses there are not very specific. Would someone please explain I have the

Hello I have a Linux machine (Ubuntu 8.04 hardy, Gcc version 4.2.4 (i486-linux-gnu) currently running R 2.6.2. I'd like to upgrade to 2.10. First Question): What is the appropriate way to remove the old version of R? Part 2. After downloading r-base_2.10.0.orig.tar.gz and opening the archive. I ran the ./configure routine. It failed claiming that it could not find the F77 compiler. My

Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have

Hello, I've been using ctree and have developed a 55 node - 28 terminal solution. As can be imagined, the plot is difficult to travel down each of the major branches. I've read the help files for ctree I saw where terminal nodes can be color coded. plot(airct, type = "simple") > plot(airct, terminal_panel = node_boxplot(airct, col = "blue", + fill = hsv(2/3,

I know this has been addressed before, but I'm still confused by the solution. When running TINN - R (ver 2.1.1.6) with R (2.8.0) I have lost the functionality of TINN-R It returns an error source(.trPaths[5], echo=TRUE, max.deparse.length=150) I modified the RProfile.site file as follows: options(pager="interal") .trPaths=c( 'C:/Documents and

Thanks for the gracious assistance in advance I'm working on a non-metric scaling problem and am calculating the distance for input to isoMDS Here is the code library(MASS) vegdata <- tapply(Percent, list(PRIMARY_VE, MASTERID), sum) x.mat <- matrix(x, nrow=40, ncol=2750, byrow=TRUE, dimnames = c(dimnames(x)[1], dimnames(x)[2])) vegdata.dd <- dist(x) vegdata.dd <-

Hello, I've been getting the following error when using the mlogit function from the mlogit package This is one of the examples provided in the Package "mlogit" January 27, 2010 description data("Fishing", package="mlogit") Fish <- mlogit.data(Fishing, varying = c(4:11), shape="wide", choice="mode") summary(mlogit(mode ~ pr + ca - 1,

Hello, I've tried to install randomForest on a Ubuntu 8.04 Hardy Heron system. I've repeatedly rec'd the error: > install.packages("randomForest", dependencies = TRUE) ERROR: compiliation failed for package 'randomForest' ** Removing '/home/admuser/R/i486-pc-linux-gnu-library/2.6/randomForest' The downloaded packages are in

Hello, I am working with version 2.7.2 on a PC and have 2.8.0 available, but have not upgraded completely yet. I have 6 species for which I've run 6 unique environmental management scenarios against for comparison purposes. Each scenario is run for 36 years (1965 - 2000). Some of the species have subpopulations and other do not. For those with subpopulations (A, B, C, D, E, and F) I have

Hello I'm plotting a large suite of barcharts and need to modify the size of the text for both the yaxis and xaxis labels. I've tried using the following: > trellis.par.set(list(par.ylab.text = list(cex = 0.65)), trellis.par.set(list = par.xlab.text = list(cex = 0.65)))) On inspection, however after I invoke this line, > trellis.par.get("par.ylab.text") >

Hello, Last week I installed ver 2.9.1 and it worked fine. This morning I have been working on some simple schemes, plot(PropHatchedNests$Phatched, PropHatchedNests$MEAN) abline(lm(PropHatchedNests$Phatched, PropHatchedNests$MEAN)) This oddly produces a box and whiskers plot. I uninstalled 2.9.1 and installed 2.9.2 and ran the same commands. Same output. Is anyone else experiencing this

A colleague is interested in modifying the ylim definition for individual panels of a common bwplot plotting statement. Is there an approach to modifying the bwplot function to allow for a dynamic ylim range given different panel factors ? He is using R 2.6.2 on a Linux distribution running from a CD. Thanks for the assistance. Steve Steve Friedman Ph. D. Spatial Statistical Analyst

I have just upgraded from 2.9.2 to 2.10.1 on my XP machine. I rec'd the following error message: Error in strsplit(x[ok], "[.-]") : 5 arguments passed to .Internal(strsplit) which requires 6 I also tried update.packages(checkBuilt=TRUE, ask = FALSE) > update.packages(checkBuilt=TRUE, ask=FALSE) Error: could not find function "update.packages" Has anyone else

Hello, vegMeans <- by(SoilVegHydro[3:37] , SoilVegHydro$Physiogomy, mean) vegSD <- by(SoilVegHydro[3:37] , SoilVegHydro$Physiogomy, sd) write.table(vegMeans, file="A:\\Work_Area\\Steve\\Hydrology_Data\\data\\vegMeans.txt") Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors) : cannot coerce class '"by"' into a

Hello, This is a re-submittal of question I submitted last week, but haven't rec'd any responses. I need to extract the probabilities used to construct the barplots displayed as part of the graph produced by plot("ctree"). For example, library(party) iris.ct <- ctree(Species ~ . , data = iris) plot(iris.ct) Instead of a simple example with only 4 terminal nodes, my

I'm stumped, can anyone find my error in this sequence. for(j in 1:(varsize[4]-1)) temp <- get.var.ncdf(nc=input, varid="p_foraging",c(1,1,j),c(varsize[1],varsize[2],1)) filled.contour(x, y, temp, color = terrain.colors, plot.title = title(main = paste("Everglades Wood Stork Foraging Potential \nYear", (2000+j)), xlab =

Hello I'm encountering some difficulty correctly reading binary files. The binary files store data as "short" rather than "double" , "int", or any of the other modes of the vector being read. The data represents a regular grid of size 419 rows by 264 columns, to make it more interesting, the data are daily records, for a total of 37 years. The file size is

Hello I recently upgraded from 2.11.1 to 2.12.0 on a windows machine. When I launch R via TINN - R,(2.3.7.0) most things appear correct. The exception is the path to the library. I store all of the packages in C:\Program_Files \R\R-2.12.0\library Last week when I upgraded I rec'd an error: Error in loadNamespace(i[[1L]], c(lib.loc, .libPaths()))) : there is no package called