similar to: R-beta: Problems with graphics on postscript

I have a problem with function 'inout()' in package 'splancs' on CRAN-R Version 1.2.3 under FreeBSD4.3-STABLE. The following script produces and draws points and a polygon-surrounded area. Repeating the same script many times shows, that points on the polygon-line often, but not always, are outside of the polygon-area. library(splancs) # dataset with polygon (convex

Dear R list, The code below puts qq-plots for two of three groups on the one plot. However the legend includes all three groups, ie the auto.key ignores the subset instruction. Is there an easy way to get around this, so that only those groups plotted are included in the legend? y1<-rnorm(100); y2<-rnorm(100)+1; y3<-rnorm(100)+2; y<-c(y1,y2,y3)

I have a dataset that looks like: set.seed(144) sam<-sample(1000,100) dat<-data.frame(id=letters[1:10],value=rnorm(1000),day=c(rep(1,100),rep(2,100),rep(3,100),rep(4,100),rep(5,100))) I want to "normalise" it using the following function (unless you have a better idea...): adj.values<-function(dframe){ value_mean<-mean(dframe$value) value_sd<-sd(dframe$value)

I think that the "dimname names" of tables and arrays could make aperm() and apply() (and probably some other functions) easier to use. (dimname names are, for example, created by table() ) The use would be something like: -- x <-table( from=sample(3,100,rep=T), to=sample(5,100,rep=T)) trans <- x / apply(x,"from",sum) y <- aperm( trans,

I would like to make a new vector with values taken from two existing vectors conditional upon a third. At present I am doing this with a for loop but wonder if there is not a neater way, given some of the very neat things R can do. a<-rep(c("A","B"),50) b<-rep(1,100) c<-rep(2,100) a is thus "A" "B" "A" "B" "A"

[this went to me instead of the list; MM, your list maintainer] I am digging in the wrong hole I guess. Where can I find R /S routines for spatial statistics? Also has anyone made an R link to a GIS package? Anyone out there who works in this area? Thanks Richard E. Hoskins WA State Department of Health 1102 Quince Street Olympia, WA 98504-7812 richard.hoskins at doh.wa.gov tel: (360) 236 -

I am trying to make the R-0.62.1 distribution on a DEC alpha running Digital Unix 3.2d. I have run into a few problems..... (1) the Makefile in src/graphics need to have INCLUDES= -I../include not -I ../include (2) I have the standard DEC fortran 90 compiler which needs to link R.binary with a -nofor_main flag. The appropriate slot in config.site appears to be ignored, which means Makeconf

I'm trying to get R to simulate the sum of the values on 10 fair dice (yes, it's related to a homework problem, but is not the problem itself). I tried to do this: > rep(sum(sample(1:6,100,replace=T)), times=10) [1] 341 341 341 341 341 341 341 341 341 341 and noticed that sum(sample()) seems to be only evaluated once. How can I overcome this, so that I get a vector of values that

I'm just trying to install 62.1 under Solaris. Making the program reports no errors, but when I try to run R I get ld.so.1: /home/res8/gilp/R-versions/R-0.62.1/bin/R.binary: fatal: libF77.so.2: can't open file: errno=2 Is there any standard place where I should be looking to find libF77? When make moves on to building the documents I get the errors below. (Is this because configure did

Suppose I make two discrete variables -- > D <- data.frame(f1=sample(1:5,100,replace=T), f2=sample(1:5,100,replace=T)) I know I can do: > table(D$f1, D$f2) 0 1 2 3 4 0 5 5 5 5 4 1 4 2 6 7 3 2 5 3 5 3 6 3 3 1 3 1 2 4 6 4 3 3 6 > table(D$f1) 0 1 2 3 4 24 22 22 10 22 > table(D$f2) 0 1 2 3 4 23 15 22 19 21 which is all great. But how do I produce the

Dear R gurus - consider this plot: library(ggplot2) dat <- sample(1:8,100,replace=TRUE) smp <- ggplot(data.frame(dat), aes(x=factor(dat),fill=factor(dat))) + geom_bar(width=1) smp + coord_polar() Q1. How do I change the font size and weight of bar labels (1,2,3...)? I've been wallowing in the 'Themes' structure and I just can't figure out the correct place to change

I get an error trying to make R 0.62.1 on Linux (2.0.30 kernel upgraged from RH 4.1). I think I saw this mentioned before but haven't been able find it. Does anyone know the fix? Paul Gilbert _____ cd src; make R make[2]: Entering directory `/hda9/apps2/R-0.62.1/src' Extracting foreign function symbols cd graphics; make make[3]: Entering directory `/hda9/apps2/R-0.62.1/src/graphics'

Hello R-ists Have been lurking on the list for a while, I have noticed recently two problems: 1 There seem to be problems with installing R on SuSe Linux version 5.3. As the list only gets problems and doesn't log the successes, has anyone successfully loaded R on SuSe 5.3? Is this a feature of 0.62.3 only or do the problems apply also to earlier versions. 2 There was a list of

Hi, I am trying to convert a variable a = sample(1:3,100,rep = T) represents choices into a 3X100 dummy varible b with corresponding element set to 1 otherwise 0. eg. a: 1 3 2 1 2 3 1 1.... b: 1 0 0 1 0 0 1 1.. 0 0 1 0 1 0 0 0... 0 1 0 0 0 1 0 0... Is there something like b[a] =1 existing? I could not figure this out myself. ---------------------------------

I'm get the following anti social behavior from R 0.62.1 Paul _____ R : Copyright 1998, The R Development Core Team Version 0.62.1 (June 15, 1998) ... > rbind(NULL, matrix("a", 5,3)) Arithmetic Exception - core dumped $ $ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html

I've been asked in private, but am answering in public so others can comment / or find this answer in the future after a web search. This is about the package 'Rmpfr' (R interface to MPFR, the GNU C library for arbitrary precise numbers). > How can you build a vector of mpfr numbers sequentially? > Typically I would do something like the following (and try to > replace the

Hi, I'm moving (slowly) to R from STATA. I often have need to move through a set of tasks across a series of years. In this case, you can see that I'm mimicking -reshape- in STATA, but I'm less interested in the task than in programming R. library(foreign) mydata<-read.dta("z:\example.dta") for (y in 2000:2002) {

I am grateful for the advice of Douglas Bates on my earlier problem in making R-0.62.1, but I'm afraid I'm still having problems.... I have been installing the various updates to R for quite some time on my alpha, and it is only now that I have been having really severe problems. The three or 4 versions before 0.61.1 installed without error. For 0.61.1 I needed to install GNU make. For

I've written the function below to simulate the mean 1st through nth nearest neighbor distances for a random spatial pattern using the functions nndist() and runifpoint() from spatsat. It works, but runs relatively slowly - would appreciate suggestions on how to speed up this function. Thanks. --Dale library(spatstat) sim.nth.mdist <- function(nth,nsim) { D <- matrix(ncol=nth,

Hi, and thank to you all for this great codec ! I have this bug on Debian Lenny with compiled packages of last svn versions of ffmpeg and libtheora. This seems to append only on the amd64 arch. Here is a valgrind log : pre-barreau at augustins:~/video$ export LD_LIBRARY_PATH=/usr/local/lib pre-barreau at augustins:~/video$ valgrind /home/pub/apps/ffmpeg_dev/ffmpeg_svn/ffmpeg -i