similar to: uniform and clumped point plots

I'm wondering if anyone is aware of a way to take what is visible in the R graphics window, pixelate it, and express that pixellation in a numeric matrix. For example, I am using the following command to create a black (present) and white (absent) spatial simulation of grass tussock distribution. > symbols(x=runif(100,-.5,1.5),y=runif(100,-.5,1.5),circles=runif(100)/30,

I using oldlogspline (from logspline package) to model data distributions, and having a problem. My data are search area sizes. They are based on circular search radii from random points to the nearest edge of the nearest grass tussock. Search area sizes are distributed from 0 (the random point intercepts a tussock) and upwards (as points are further from any tussocks). The density of all my

Dear R users, is there a way to define the color of the title for the legend in lattice? The help page on xyplot has a lot of details on key options just as the new book, but no mentioning of a color attribute for the title. Should I use ltext or is there any other way? Best wishes, Erik [[alternative HTML version deleted]]

Hello! I apologize - I never used lattice before, so my question is probably very basic - but I just can't find the answer in the archive nor in the documentation: I have a named numeric vector p of 6 numbers (of the type 6 numbers with people's names to whom those numbers belong). I want a simple bar chart. I am doing: library(lattice) trellis.par.set(fontsize=list(text=12)) #

Sorry, I did not make my question clear. Since I have a point theme with many points, some of them may clump together. the problems here are: 1. how to find clumps in a point theme? 2. the convex-hull extension I found only deal with all the points in a theme at each time? how to make each convex hull around each point clump automatically? Thanks. Xiaohua On 5/12/06, Bob Booth <bbooth

Hi R-users, I would like to do looping for this process below to estimate alpha beta from gamma distribution: Here are my data: day_data1 <- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 1943 48.3 18.5 0.0 0.0 18.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8 2.8 1944 0.0 0.0

Hi, is there a grayscale setting for lattice plots? I like the default color settings. I also like the settings that are available for setting black and white with something like this: --8<---------------cut here---------------start------------->8--- ltheme <- canonical.theme(color = FALSE) ## in-built B&W theme ltheme$strip.background$col <- "transparent" ##

What is the most elegant way to specify that strip panels are to have transparent backgrounds and graphs are to be in black and white when lattice is being used with Sweave? I would prefer a global option that stays in effect for multiple plots. If this is best done with a theme, does anyone have a lattice theme like col.whitebg but that is for black and white? I'm using the following

Dear All, I would like to simulate a Strauss process in 3D, but there is only 2D in R. I understand a programming which is necessary, but I don't have idea how to simulate. Thanks. Apple [[alternative HTML version deleted]]

On Solaris x86, does zpool (or anything) support PATA (or SATA) IDE SMART data? With the Predictive Self Healing feature, I assumed that Solaris would have at least some SMART support, but what I''ve googled so far has been discouraging. http://prefetch.net/blog/index.php/2006/10/29/solaris-needs-smart-support-please-help/ Bug ID: 4665068 SMART support in IDE driver

Dear r-help, I would like to use the 'ppm' function of the 'spatstat' package to fit a Strauss inhibition model. I understand that I can specify a parametric model for the "background" trend, but how would I specify a trend which is estimated using a Kernel density smoother? In particular, I would like to use the 'kde' function of the 'ks' package to

I am using the Deepayan's Sweave trick to set graphics parameters for all graphs: ltheme = canonical.theme(color=TRUE) sup = trellis.par.get("superpose.line") ltheme$superpose.line$col = c('black',"red","blue","#e31111","green", "gray") .... Works perfectly, there is only a minor nuissance that trellis.par.get opens a device

Hi all, before I roll my own, naive implementation of a particular spatial point process, I thought I'd ask whether this has already been done. Specifically, I am looking for essentially the opposite of the Strauss and Mate'rn processes included in library(spatial) and documented in MASS. I am examining daily travel patterns, focusing on just the destinations of trips, not the

i have trouble in using spatstat package. i want to simulate a community under the Strauss process,which has a parameter gamma that controls interaction strength between points,and Strauss process is defined only for 0 ¡Ügamma ¡Ü 1 and is a model for inhibition between points. my problem is that in my data, many species's estimated gamma is larger than one.so if i still wanna simulate

Dear R-helpers, the problem I'm facing today is to convince lattice to paint some areas in gray. The areas I would like to have in gray, are confidence bands I've googled around in the mailing list archives and eventually find some clues. This link is my starting point http://tolstoy.newcastle.edu.au/R/e2/help/07/04/15595.html I'm reproducing here the code for your convenience est

Dear all, I want to simulate a Strauss Hard Core process in 3D. I have found that someone else tried to do the same and he recived this answer, "If you need this immediately, I suggest you follow Brian Ripley's advice. This probably involves downloading a source tar file of the R package and finding the Fortran code in library/spatial/src/. The Fortran should be edited to generate 3D

Hi, I have searched the archived, and see this question has come up with some frequency, but the solution by the original poster is never posted or the question is not answered completely. I have also RTFM (rsync and ssh), and I've been trying examples that I have googled. So here it is again. BoxA --internet-- BoxB (accessable only by ssh) -- BoxC I want to backup BoxC to BoxA. I want

Hi, I'm having trouble setting the ringtone on my Polycom 501. The relevant entry in extensions.conf is: exten => 801,hint,SIP/creative1 exten => 801,1,SetVar(ALERT_INFO="Test") exten => 801,2,Dial(SIP/creative1,20,Ttr) In the sip.cfg: <alertInfo voIpProt.SIP.alertInfo.1.value="Test" voIpProt.SIP.alertInfo.1.class="13"/> and <TEST

Hi - I am trying to find and describe missing data in a time series. For instance, in the library openair, there is a data frame called "mydata": library(openair) head(mydata) date ws wd nox no2 o3 pm10 so2 co pm25 1 1998-01-01 00:00:00 0.60 280 285 39 1 29 4.7225 3.3725 NA 2 1998-01-01 01:00:00 2.16 230 NA NA NA 37 NA NA NA 3 1998-01-01 02:00:00

Asterisk is reporting the following error: [Apr 15 16:58:32] WARNING[14759] ast_expr2.fl: ast_yyerror(): syntax error: syntax error, unexpected ':', expecting $end; Input: : Always ^ here is the dialplan: exten => OUT,1,Gotoif($[$["${DB(AMPUSER/${ARG1}/recording)}" : "out=([^|]+)"] = Always]?r,1) exten =>