similar to: Help about R

This code below produces empty XXX.png files - if I use plot(), it works and if I enter the commands png(filename=fn) bubble(positions, do.sqrt=FALSE, main=q) dev.off() manually, it works as well. I am lost - any help appreciated. The weird thing is that it worked before I made some changes... (I don't have a copy of the working version...). R version: platform i686-pc-linux-gnu arch

Hi, I'm using R 2.5.1 and gstat 0.9-39 library and I'm working with the jura data set provided by gstat library. I tried to plot a graph of metal concentrations (let's say Cd) with the command spplot, but I realized that the default lags are equally distributed between Min and Max. I did: library(gstat) data(jura) jura.pred.xy <- jura.pred names(jura.pred.xy)[1:2] <-

Hi- I am trying to find a way to diffuse GIS data on a European map. I have a dataset consisting of particular locations scattered across Europe, along with magnitude and value information. I can plot these as discrete points with something like the following: "geocode" is a dataframe with four columns: LAT; LONG; MAGNITUDE;VALUE. library(maps) library(mapdata)

I need help creating a bubbleplot, like a simple pseudo three dimensional scatterplot of circles whose sizes index a 3rd variable. I initially came across this at http://addictedtor.free.fr/graphiques/graphcode.php?graph=73 but the circleplot function does not exist in fbasic as listed in the document. _________________________________________________________________

I have to create a number of bubble plots, and am wondering what methods folks prefer for this task. I've been experimenting with the symbols() function, with text() to provide plot labels. Any opinions on the relative merits of this method versus others? One criterion would be the ability to fine-tune the placement of text labels. I would like to use lattice, but haven't found a way to

Dear R help list, ? I am working on some data from a study on the habitat use and movement patterns of fish using a marine protected area in Hawaii.? We have a number of acoustic receivers in a MPA, and any time a tagged fish passes within range it records the date and time of detection.? I am trying to make bubble plots?showing the number of detections for each fish at each receiver.? I have been

hello, to use the function plot3d, i should use the package R.basic! plot3d {R.basic} If people know exactly a site to load this package, please give me the URL! Thanks Sabine --------------------------------- [[alternative HTML version deleted]]

Dear R-list, I have a problem which I think is quite basic, but so far google has not helped me. I have two vectors like this: vector_1 <- c(Belgium, Spain, Greece, Ireland, Luxembourg, Netherlands, Portugal) vector_2 <- c(Denmark, Luxembourg) I would like to find the elements in vector_1 that are not in vector_2 so that i get a vector with these countries: Belgium, Spain, Greece,

Hi, I do not have much R experience just the basics, so please excuse any obvious questions. I would like to create bubble plot that have Categorical data on the x and y axis and then the diameter if the bubble the value related to x and y. Attached to the email is a pic of what I would like to do. I do hope someone can help me. -- Regards/Groete/Mit freundlichen Gr??en/recuerdos/meilleures

Hello Everyone, I am Naive user of 'R' statistical environment and still i'm in learning mode. I would like to know how to plot 2D data graphically. i.e. how to color code each cell in 2D Matrix depending on it's value --- red equals bigger numbers and blue indicates smaller. For example my 2D matrix is *4* *109.32* *108.06* *104.48* *3* *111.9* *105* *107.56* *2* *115.32* *

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can you recommend a good manual for R that starts with a data set and gives demonstrations on what can be done using R? I downloadedR Langauage definition and An introduction to R but haven't found them overly useful. I'd really like to be able to follow some tutorials using a dataset or many datasets. The datasets I have available on R are Data sets in package 'datasets':

Dear All, I run following code to estimate the blocks using cokriging ( my data set has more than 50,000 data points). All the things run finely but Once I run the predict.gstat function it gave the error message - "memory.c", line 58: can't allocate memory in function m_get(). I run this code on LINUX sever but result is same. Would any one please be able to give a solution for

To whom it may concern, I get the following message when I run my function: Warning message: multi-argument returns are deprecated in: return(call.fn, repl, time, from, to, last.year, occup.m, ant.occ.m, > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 8.0

Hi all, >str(df) `data.frame': 31837 obs. of 3 variables: $ x : num 410683 410700 410720 410740 410324 ... $ y : num 43136 43126 43123 43125 42709 ... $ wz: num -101.1 -94.9 -93.3 -94.5 30.8 ... >library(gstat) >g<-gstat(id="rv",form=wz~1,loc=~x+y,data=df,model=mat,nmax=500,set=list(average=1)) >str(g) List of 3 $ data :List of 1 ..$ rv:List of 10 ..

Hello, I'm a Korean researcher who have been started to learn the "R" package. I want to make gam model and AIC value of the model to compare several models. I did the GAM model, but there were error for AIC. SO, how can I do? pleas help me!!! I did like below; > a.fit <- gam(pi~ s(t1r), family = gaussian(link="log")) >

Hello, # I am able to install.packages("gstat") #but when I try to upload I get an error message library(gstat) #Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : # there is no package called ‘intervals’ #In addition: Warning message: #package ‘gstat’ was built under R version 3.0.2 #Error: package or namespace load failed for ‘gstat’ what do

Hi; I cannot find in the R html documentation a way to evaluate cross-correlation in 2D data sets. I would like to evaluate cross-correlation in a series of moving windows between two maps. i,e, specify several windows inside the complete 2D spatial matrixes and for each one ofthese windows evaluate the 2D cross-correlation (commonly conducted in the spectral domain). Thanks in advance and best

I wonder what is the default value for the argument 'cutoff' when not specified in the variogram.formula function of gstat. Computing variogram envelops within gstat, I am comparing the results obtained with variog in geoR and variogram in gstat, and it took me a while before understanding that the cutoff default value is not the maximum distance. Can Edzer tell us about it? All the

Dear all, I noticed that the r-base package for Ubuntu 8.04.1 do not have the tcltk support compiled in. Would it be possible to correct this? > echo "capabilities()" | R --no-save | tail -6 [Previously saved workspace restored] > capabilities() jpeg png tcltk X11 aqua http/ftp sockets libxml TRUE TRUE FALSE TRUE FALSE TRUE