similar to: Help with Windows build

HI, Is there anybody using package maps, available at ftp://ftp.mcs.vuw.ac.nz/pub/statistics/map/ I have installed it (version maps_0.1-3.tar.gz wich seems to be latest, on R 1.5.1, linux), but whatever I do, I get a segfault. Discussion in the mailing list suggests that the package is not finished yet but is still usable, at least on some platforms. Does anybody has experience with similar

I downloaded the latest version of R (1.5.0) and issued a read.table() command that used to work with (1.3.1). Unfortunately I erased 1.3.1 from my hard drive after I downloaded R 1.5.0. Here's the command and the error message I get under 1.5.0: > golub1<-read.table("C:/Microarrays/code/data_set_ALL_AML_train.txt",sep="\t",q

Is there an implementation of a reasonable k-nearest neighbor finder already in one of the packages? -- +---------------------------------------------------------------------------+ | Robert Gentleman phone : (617) 632-5250 | | Associate Professor fax: (617) 632-2444 | | Department of Biostatistics office: not yet

At a snail's pace I keep on translating an introduction to R into italian; I have reached the section describing the glm() function, in which some example code is presented. The very last line of code, before the beginning of the section on Poisson models is: ldp <- ld50(coef(fmp)); ldl <- ld50(coef(fmp)); c(ldp, ldl) which of course gives results 43.663 and 43.663; the correct code

At a snail's pace I keep on translating an introduction to R into italian; I have reached the section describing the glm() function, in which some example code is presented. The very last line of code, before the beginning of the section on Poisson models is: ldp <- ld50(coef(fmp)); ldl <- ld50(coef(fmp)); c(ldp, ldl) which of course gives results 43.663 and 43.663; the correct code

Hello, I thought some of you might like to know about a GNU project that is complementary to R in some ways, namely gretl http://ricardo.ecn.wfu.edu/gretl (GNU Regression, Econometrics and Time-series Library). gretl (a library with cli and gui clients, the gui using GTK) is designed to be very user-friendly, and suitable for teaching econometrics. It has a fairly wide variety of least-squares

Hi, I am having trouble with the survival library, particualrily the coxph function. the following works coxph(jtree9$cph.call,z,rep(1,dim(z)[1])) Call: coxph(formula = jtree9$cph.call, data = z, weights = rep(1, dim(z)[1])) coef exp(coef) se(coef) z p SM 0.2574 1.294 0.0786 3.274 1.1e-03 Sex -0.1283 0.880 0.1809 -0.709

I'm trying to build the 1.4.0 development version of R for Windows. I'll be posting problems as they arise, until I give up (or succeed), or someone asks me to stop. 1. I don't have zlib, the compression library. The source file gnuwin32/unzip/WHERE says to get it from ftp://ftp.info-zip.org/pub/infozip/zlib/zlib.html; that web site says it has been closed and redirects me to

I tend to use table() quite a bit for quick "diagnostics", summary, etc. I have wished for a more automatic way of plotting these. One possibility would be something like the following function; The question is if (something like) the following is worth providing (and then maintaining...) at all : plot.table <- function(x, type = "h", ylim = c(0, max(x)), lwd = 2,

The point estimates produced by wilcox.test are perverse (not wrong, just brain damaged). The Hodges-Lehmann estimator that goes with the signed rank test is the median of the Walsh averages. The Hodges-Lehmann estimator that goes with the rank sum test is the median of the pairwise differences. wilcox.test agrees except that it uses the following very peculiar definition of "sample

Hi Duncan, I've been looking around at GUI toolkits to use with Python (and by extension R). I initially tried Tk, but was disappointed because there is no consistent set of high level widgets. I've subsequently done some looking at QT, wxWindows, and GTK. QT is out because I am a *commercial* user, and I don't want to have a license hassle. GTK seemed to have a lower level of

Hi, Kurt Hornik and I will start to publish a quarterly electronic ``R Newsletter'' beginning with January 2001 (if all goes well). The idea is to have a mixture of articles describing 1) new features in R itself 2) contributed add-on packages 3) nice applications 4) more general statistical computing issues related to R 5) or ... OK, now comes my christmas wish to you: If you are

Hi R-user, I am new with R and I have a problem with the map and mapproj fonctions : with the following code : >test_proj=mapproject(LONG_d01_vec_t1, LAT_d01_vec_t1, projection="lambert", parameters=c(30,60)) >longitude_vec=test_proj$x >latitude_vec=test_proj$y >longitude_mat=matrix(longitude_vec,ncol=e_sn_d01) >latitude_mat=matrix(latitude_vec,ncol=e_sn_d01)

summary: I can display a lon-lat map on a lattice::layerplot, and I can display a Lambert conformal conic (LCC) map on a spam::image, but I can't display an LCC map on a lattice::layerplot. Example follows. What am I doing wrong? details: I've been using `lattice` (via `rasterVis`) successfully to display global atmospheric data, which works well enough (though I am definitely intrigued

Hello everyone, I was wondering if anyone knows how to convert the Splus mapproject( ) function for use in R, I would greatly appreciate your help. I am using the following system, R Version 1.6.1 (2002-11-01) for SunOS 5.5 and Splus Version 5.1 Release 1 for Sun SPARC, SunOS 5.5. Thanks, Helen

Does anyone know what the units are for projected coordinates obtained using mapproj's mapproject function with an Albers projection? Thanks for any and all help! Buck Stockhausen *************************************************** * Dr. William T. Stockhausen * *************************************************** * Resource Ecology and Fisheries Management * *

Dear R community, I need to plot the results of some simulations I did using QTL Cartographer. I am plotting LOD scores over three chromosomes. The three plot have to be one next to the other. The procedure I am using is: par(mfrow=c(1,3)) plot(x$x, x$y, ylim=c(0,35), type="l", col="blue", las=1, xaxs="i", yaxs="i", xlab="X Chromosome",

Richard Zimmerman wrote: > I've got a 3 building network... > > Buildings 1/2 between then have 3 wireless routers all pointed to one > CentOS server. > > The 3rd building across the WAN has 3 wireless routers all into one > server... > > In my case They are for local LAN access so they are setup to pint to a > single IP/gateway address... Thanks for your

Hi, The following function does work optimize.W<-function(W,k,G,Groups,cph.call,z){ n<-length(Groups) grp.wt<-rep(0,n) for(i in 1:(length(G))){ ind<-Groups == G[i] if(G[i]!=k){ grp.wt[ind]<-W[i] } elsegrp.wt[ind]<-1 } z<-data.frame(cbind(z,grp.wt=grp.wt)) #needed to make the case weights #part of the data

SUMMARY: Specific problem: I'm regridding biomass-burning emissions from a global/unprojected inventory to a regional projection (LCC over North America). I need to have boundaries for Canada, Mexico, and US (including US states), but also Caribbean and Atlantic nations (notably the Bahamas). I would also like to add Canadian provinces and Mexican states. How to put these together? General