similar to: Reading Binary Files

Does anyone else have any insights to this issue: Henrick, thank you for your very quick response. I've examined the readBin help file with respect to endian and I'm still not sure I'm getting this correct. Here is what I'm coding: con <- file(file.choose(), open="rb") Year66 <- readBin(con, what=integer(), signed = TRUE, size = 2, endian="little", n

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

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

Hi, I need to create a plot (type = "h") and then overlay a skewed-normal curve on this distribution, but I'm not finding a procedure to accomplish this. I want to use the plot function here in order to control the bin distributions. I have explored the sn library and found the dsn function. dsn uses known location, scaling and shape parameters associated with a given input

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 am using windows XP with R 2.8.1 I am generating a lattice plot of annual rain patterns using the following function: > xyplot(rain.stats$min+ rain.stats$max + rain.stats$ave ~ rain.stats$month |rain.stats$year, lty = 1, data = rain.stats, type = c("l","l", "l"), col = c("red", "blue", "green"), distribute.type =

My data contains a variable "observation_date" and it contains values as: 1985-09-02 1985-09-15 1985-07-31 1985-09-02 I need to process data annually rather than daily, therefore I'm trying to 1) either extract the first 4 digits from this field and use them as a new variable "year" or 2) keep the variable as it is and process the analysis using the first 4 digits of

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

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",

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

Hello Trying to develop variograms and kriged surfaces from a point file. Here is what I've done so far. library(gstat) # also loads library(sp) library(lattice) soilpts$x <- soilpts$UTM_X soilpts$y <- soilpts$UTM_Y soil.dat <- subset(soilpts, select=c(x, y, Area, BulkDensity, LOI, TP, TN, TC, Total_Mg)) dim(soil.dat) [1] 1292 7 coordinates(soil.dat) <- ~ x+y

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 <-

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 everyone I'm working with R 2.8.1 on a windows machine I have a question regarding time series analysis The first question is how does R expect the input file to be structured? I'm working with a *.txt file similar to the abbreviated one here: Date,stage 4/2/1953,7.56 4/3/1953,7.56 4/4/1953,7.54 4/5/1953,7.53 4/6/1953,7.5 4/7/1953,7.47 4/8/1953,7.44 4/9/1953,7.41 4/10/1953,7.37

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