similar to: Levelplot not working from file

I'm trying to plot a grid over a levelplot print( levelplot( var1.pred~x+y, data=saw.pred, aspect=mapasp(saw.pred), col.regions=terrain.colors(80), main=main) ) using the data... > saw.pred x y var1.pred var1.var sort 1 5 5 3.3761200 256.3363 saw 2 15 5 3.3884142 499.5695 saw 3 25 5 3.5394769

Dear friends of lme, After so many year with lme, I feel ashamed that I cannot get this to work. Maybe it's a syntax problem, but possibly a lack of understanding. We have growth curves of new dental bone that can well be modeled by a linear growth curve, for two different treatments and several subjects as random parameter. By definition, newbone is zero at t=0, so I tried to force the

Hi all. I'm ploting a raster and I can't find the proper way to move the legend. For example, r = raster(system.file("external/test.grd", package="raster"))plot(r) How can I put the legend at the desired position? Thank in advance,Phil [[alternative HTML version deleted]]

Dear R-helpers, I get GPS readings with bug counts (bugs meaning insects in this case) made along rows in crop fields and use these to make maps of bug distribution. The GPS readings are not quite accurate enough for my purpose, so since I know what row each reading is made in, I adjust the latitudinal coordinate using: grd<-lm(lat~lon+Row,data)

Hi, Just to know if somebody had succesfully compile app_radius from http://appradius.minitelecom.org ? Here below my configuration : -> asterisk runing -> mysql running -> freeradius running -> Compiling cpprad : OK -> Compiling app_radius : not OK, here below my error message : "" make[1]: Quitte le r?pertoire `/home/grd/appradius/inc' make[1]: Entre dans le

Hello R helpers, I would like to automate this code for many files of the same type. But I don´t know how to make it. In particular, i don´t know how to read many files each one as an r object with the name of the file. Then a for loop would be sufficient, right? Many thanks and a happy new year. Dominic datos <- read.table('global2001.csv',head=T,sep=';',stringsAsFactors=F)

A larg program which worked with lme4/R about a year ago failed when I re-run it today. I reproduced the problem with the program below. -- When lme4 is not loaded, the program runs ok and fast enough -- When lme4 is loaded (but never used), the do.call fails with infinite recursion after 60 seconds. Memory used increases beyond bonds in task manager. -- I tested a few S3 based packages

A larg program which worked with lme4/R about a year ago failed when I re-run it today. I reproduced the problem with the program below. -- When lme4 is not loaded, the program runs ok and fast enough -- When lme4 is loaded (but never used), the do.call fails with infinite recursion after 60 seconds. Memory used increases beyond bonds in task manager. -- I tested a few S3 based packages

Hi all, Muppet from the UK asking for help We are just about to have a T1 line installed in our office in Dallas and "Advantex" the supplier has sent a questionnaire asking a number of questions. I have put the question area at the bottom of the email, we will be using Digium's hardware. could anybody help :-) In the UK when I asked for a E1, number of trunks required and the

hi all, I have a plot to which i would like to add text labels. And i cant find a way...here is the code : enaD2<-idw(D2~1, loca=dva, newdata=grd) pts = list("sp.points", dva, pch = 20, cex=1.5, col = "darkred spplot(enaD2, "var1.pred",sp.layout=pts, main = "globina 60 cm", sub="D2",

Dear R-help, I have a problem plotting maps using the raster package when I use R on my workplace server, but not when I use my own desktop. I suspect the server version must be missing something and was wondering if anyone would have any ideas. The problem occurs after library(raster) f <- system.file("external/test.grd", package="raster") r <- raster(f) plot(f) On

I've a linux system with 2Gb of memory which is not enough for reading a 446Mb netcdf file using ncdf: library(ncdf) ncold <- open.ncdf("gridone.grd") Error: cannot allocate vector of size 1822753 Kb When I look at the free memory in my system I can see that none of the Swap space is being used by R. I am a newbie in linux and R, I've read the Memory help pages but still

Dear R helpers, I have what another member on this forum described as an embarrassingly parallel problem. I am trying to fit models on subsets of some data based on unique combinations of two id factors in the dataset. Total number of combinations is 30^5, and this takes a long time. So, I would like fit models for each of the datasets produced by subsetting on the unique combinations, splitting

Hello everybody, I search a function which returns the contour of map with levels like contourLines, but I would like this function return the border of the map too, because the function contourLines cannot consider the corner of the map and it is not adapted to fill polygon after that. Thanks in advance Pierre Bruyer

Dear R-devel When 'install.packages' runs, it updates all html files in all packages. Mostly, there seems to be no actual change to the html file contents, but the date/time does change. This has causing been me a bit of trouble, because I keep synchronized versions of R on several different machines, and whenever I install a package, many MB of file transfers are required; my slow upload

Hi everybody I have a questionnaire with a lot of questions that allow for more than one option to be chosen (like a tickbox in a html form). The data captured on a mobile device and is supplied in a format where every option is a separate variable (logical). I want to develop a generic function to process these questions. As part of the analysis I want make a matrix of the p-value from the

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random selection of cells in raster based on distance from xy locations Hi, I am trying to sample a raster for random cells that occur within a specific distance of point locations. I have successfully found multiple ways of doing this but have memory issues with very large datasets. To overcome this problem I am working with lists. I am now stuck on how to randomlly sample the correct elements

I am trying to rasterize a SpatialPolygon object by a RasterBrick object. The documentation of the raster::rasterize function explicitly says this is allowed. Here's what I am doing # load the raster package library("raster") # create a raster brick object using the example from the brick function documentation b <- brick(system.file("external/rlogo.grd",

Dear Madam or Mister, My name is Manuel Montesino and I am a PhD student at the University of Copenhagen. I am not a programmer myself, but my thesis requires the combined use of R and a model. I would be very grateful if you help me with the following issue; I am trying to combine a small piece of code written in Fortran 77 with R. The F77 code aims to select data from a library and write it