similar to: j and jcross queries

Dear all, I am using the spatstat package, in particular the Jest, Jdot and Jcross functions. When I plot the results using J <- Jest (SpatData) plot.fv (J, main="Recruits") there are 4 different lines (different colours and shapes): black _____ green -------- red _ _ _ _ blue _._._ Could someone please tell me which line is which?? Regards, Sara Mouro [[alternative HTML

Hello! I am writing you because I could not plot the confidence envelopes for functions Jest, Jcross, Jdot, Jmulti, and L, using the Spatstat package. I have already understood how to do that for Kest or Jest, that is: JEnv <- plot(envelope(PPPData, Jest)) Where PPPData is my ppp object. However, for Jcross I must specify the two marks I want to analyse. That is, usually I would get the

Hi: I am doing some work that involves plotting points of interest superimposed on photographs and maps. I can produce the plots fine in R, but so far I have had to do the superimposition externally, which makes it tedious to do exploratory work. I have looked to see if there is some capability to put a background picture on a plot window, but I have not found anything. Advice, anyone? Cheers

I would like to use the output from the map function in the package maps for use in, say, the spatstat package. I don't quite understand the coordinates for the border of the state: Example: library(maps) iowa<-map("region","iowa) x<-iowa$x y<-iowa$y There are NA's and duplicated coordinates. What would I need to do to use this in the spatstat owin command?

I normally use the following code to create a figure displaying the mark correlation function for the point pattern process "A": M<-markcorr(A) plot(M) I have now started to use the following code to perform 1000 Monte Carlo simulations of Complete Spatial Randomness (CSR). It is a Monte Carlo test based on envelopes of the Mark correlation function obtained from simulated point

-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of r-help-request at r-project.org Sent: Monday, February 11, 2008 12:00 PM To: r-help at r-project.org Subject: R-help Digest, Vol 60, Issue 11 Send R-help mailing list submissions to r-help at r-project.org To subscribe or unsubscribe via the World Wide Web, visit

Okay, so I'm fairly retarded, and asked a question about finding the T-Value in the Fisher Exact method. I suppose what I'm truly after can best be explained by the Biddle Consulting site that has a program setup to deal with this kind of thing. Unfortunately, it is not currently functioning, and has not been for some time. As a result, I'm trying to figure out how to do this on my

I'm having trouble with adapt. I'm trying to use it in a Bayesian setting, to integrate the posterior distribution, and to find posterior means. I tried using the following script, and things went ok: data = rnorm(100,0.2,1.1) data = c(data,rnorm(10,3,1)) data = data[abs(data)<2*sd(data)] prior = function(x){ dgamma(x[2],shape=2,scale=1)*dnorm(x[1],0,.5) } liklihood =

I'm testing some different formulations of pairwise interaction point processes in Spatstat (version 1.11-6) using R 2.5.0 on a Windows platform and I wish to simulate them using the Metropolis-Hastings algorithm implemented with Spatstat. Spatstat utilizes Fortran77 code with the preprocessor RatFor to do the Metropolis-Hastings MCMC, but the Makefile is more complicated than any I have

I upgraded to R version 2.6.0 yesterday; now I find that I can't load spatstat. I re-installed spatstat (that part seemed to work without complaint) but when I execute > library(spatstat) I get the error message Error in dyn.load(file, ...) : unable to load shared library '/Users/rturner/Rlib/spatstat/libs/ i386/spatstat.so':

Our computing services people have recently reconfigured the Sun compilers structure on our network, and I can no longer install, on our Sun/Solaris machine, a certain package (spatstat) with which I am heavily involved. (The same problem may well pertain to other packages as well; I haven't yet experimented except with spatstat.) Strictly speaking I can ***install*** it, but when I try to

Sparc Solaris 8 SunStudio 11 compilers R-2.3.1 spatstat 1.10-1 R-2.3.1 and spatstat were installed using SunStudio11 compilers on a Sparc Solaris 8 machine. No errors were reported in the compilations, however, when I try to load spatstat I get an error: > library(spatstat) Loading required package: mgcv This is mgcv 1.3-20 Error in dyn.load(x, as.logical(local), as.logical(now)) :

Hi: I am looking for "style guides" for larger R programs, and would like suggestions of web pages or documents to look at. I am particularly interested in guidelines for how to structure programs, and such issues as managing scope, passing data around, data hiding, and so forth. I do have some understanding of how scope works, and how object-oriented programming does or might work.

Can someone advise me what the most sensible way is to read jpeg images? For our work with image analysis and eye-tracking we have been using the rimage package, on both Macs and Windows PCs. But while setting up a new Windows machine yesterday, I see that rimage is regarded as orphaned, and no Windows binary is available. I eventually found an old zip file for the package, so I

Full_Name: Georg Roth Version: R.2.0.1.for Windows OS: Win98 Submission from: (NULL) (134.95.43.165) Using libraries "spatstat" and "sm" on R.2.0.1. under Windows 98 bug 1) the libraries "spatstat" and "sm" are not properly identified by the "library()" command on R.2.0.1. (R for Windows98). the libraryname is shown in upper case

Hi all, I am trying to install Spatstat on OpenSUSE 11.1. install.packages("spatstat", dependencies = TRUE) fails on the basis of various compiler packages (full message below). I have gcc version 4.3.2, which should include gfortran and g++ - so I'm not sure what to do! Richard * Installing *source* package ?deldir? ... ** libs gfortran

Hi, I'm not sure of the correct nomenclature or function for what I'm trying to do. I'm interested in calculated a logistic regression on a binary dependent variable (True,False). There are a few ways to easily do this in R. Both SVM and GLM work easily. The part that I want to add is "group wise" awareness. So that the algorithm computes the coefficients to maximize

Today I installed the newest R develepment branch R version 2.14.0 Under development (unstable) (2011-03-18 r54866) on FreeBSD 9.0-CURRENT (amd64). All seems fine so far. After that I updated my R packages with option 'checkBuilt=TRUE'. There are four packages (spatstat, pscl, adehabitatLT, adehabitatHR) which gives an error like this: Error in dyn.load(file, DLLpath = DLLpath, ...) :

Hello, I am trying to plot a quadratcount object over a ppp object in the spatstat package. I ultimately want to get something like this http://bg9.imslab.co.jp/Rhelp/R-2.4.0/src/library/spatstat/man/images/big_quadratcount_001.png http://bg9.imslab.co.jp/Rhelp/R-2.4.0/src/library/spatstat/man/images/big_quadratcount_001.png See

Hi, I tried to install spatstat using: install.packages("spatstat", dependencies = TRUE, lib = "./R/i486-pc-linux-gnu-library/2.8") but got the following msg: --- Please select a CRAN mirror for use in this session --- <here i selected one mirror, and tried several mirrors) Loading Tcl/Tk interface ... done Warning message: In install.packages("spatstat",