similar to: Samba 3.0.20 winbindd problem on x86-64

[ Please would anyone replying to this maintain the Cc list here as my dear colleague is not subscribed to this mailing list. ] Hello all, I am trying to track down an oddity with winbindd. We're using samba only to join a given domain -- so the config file is very minimal, as per: [global] workgroup = TEDDYBEARS netbios name = SMOOTHWALL realm = TEDDYBEARS.LOCAL security = ads

If I have a list I can set a sub-element as follows on the command line: people=list() people$tom$hair="brown" people But what if I have a string containing the name of the sub-element that I want to access? subel= "people$tom$hair" get(subel) # returns error assign(subel,"red") # silent but doesn't change list people The attempts above using assign/get

Dear R Users, I want to test the dimensions of an incoming vector, matrix or array safely and succinctly. Specifically I want to check if the unknown object has exactly 2 dimensions with a specified number of rows and columns. I thought that the following would work: > obj=matrix(1,nrow=3,ncol=5) > identical( dim( obj) , c(3,5) ) [1] FALSE But it doesn't because c(3,5) is numeric

Dear List, I have been trying to use library sm to do density estimation on a 3D dataset. I am using the current MacOS X binary of sm from CRAN. If I do this on a 2D dataset, sm.density returns a list including the component "estimate" which contains the density estimate over a uniform grid. When doing this with 3D data, although I get a nice plot (even when I don't ask for one),

Dear R Users, I have some data that is very similar in form to a 3D image - ie univariate data on a regular 3D grid. I keep this as a 3D numeric array in R with attributes describing the sampling points along the 3 dimensions. I would like to interpolate this onto a new regular 3D grid that I specify (eg by supplying 3 vectors corresponding to the new grid locations on each of the 3

Dear R People, I would like to smooth some 3d lines, which consist of line segments specified by start and end 3d coordinates. These are experimentally derived from microscope images of neurons, so there is no sense in which one axis is any different from any other (predictor vs response). I have tried doing repeated smoothing interpolation with smooth.splines (see below), but this doesn't

Dear R people, I have recently started using rJava to interact with Java code that I have written and am finding it a very useful bridge. Thanks! I have now run into a problem I can't figure out. If I edit and recompile my java source code I would like to force rJava to reload the modified java class. However even doing: .jinit(force.init=TRUE) To restart the jvm doesn't seem to do

Dear All, Does anyone know of any GIS packages for R? I know that there are GIS facilities for S-Plus (eg Arc Info), and am looking for freeware equivalents. Best wishes, Sam Brown ----------------------------------------------------------- Sam Brown sam at zoo.cam.ac.uk Department of Zoology tel +44 1223 330933 Downing Street fax +44 1223 334466

When I do lmer models I only get Estimate, Standard Error and t value in the output for the fixed effects. Is there a way I get degrees of freedom and p values as well? I'm a very new to R, so sorry if this a stupid question. Thank you - Mike Mike Ford Centre for Speech and Language Department of Experimental Psychology Downing Street Cambridge CB2 3EB Tel: +44 (0) 1223 766559 Fax: +44

Hi there, I want to install locfit in R for Windows NT. I have recently downloaded the file locfit.zip from http://www.ci.tuwien.ac.at/R/bin/windows/windows-NT/contrib/ but it doesn't include any explanation on how to do the installation. Have anybody done this? If so I'd really appreciate your help. Cheers, Oscar -- ------------------------------------------------------- Oscar

Dear R-helpers, I am doing a multiple linear regression of an ozone time-series on time and other explanatory variables. I have been using the "lm" model but I am recently experimenting with "gls". With the "lm" model I was able to look at the residuals by $res in the "summary (lm(...))" and then check with "acf" for autocorrelation in these

Hello, I've had a quick look on the list and can't find an answer to this niggle. Whilst debugging some code, I noticed that looping variables in R are not local to the loop as seams common in procedural languages. For example consider the following piece of code: for(i in 1:3){ cat(i,"") for(i in c("a","b","c")){ cat(i,"")

Dear all, I have run a hierarchical log-linear analysis using loglin {stats} and came up with a specific model. loglin returns me the parameter estimates giving me an idea in which direction the observed frequencies deviate from the expected ones for my different factors. To assess the significance of any such effects I would need to calculate the ratio of the log-linear parameter

Dear All. I have the following table that I want to analyze using multinom function freq segments sample 4271 Seg1 tumour 4311 Seg2 tumour 3515 Seg1 normal 3561 Seg2 normal I want to compare model with both factors to the one where only sample is present. model1=multinom(freq~segments+sample,data=table) model2=multinom(freq~ sample,data=table)

Dear helpful person, I have been trying to download package car from the CRAN website using the install.packages command from within R. I have successfully used this command to install other packages but can't make it work for car. When I try I get the following messages: trying URL `http://cran.uk.r-project.org//bin/windows/contrib/PACKAGES' Content type `text/plain' length 5677

We're using the built-in CUPS interface for printing from Samba and this, as shipped, leaves the spool files in the directory defined by [printers] path = whatever in smb.conf. Other printing types typically explicitely delete these files as part of the print command but the CUPS interface doesn't offer any facility to do this. A possible solution is, as in the attached patch, to delete

Hello, I've been looking in the on-line manuals and searching past posts but can't find an answer to this question. I'd like to define my own variance function in a GLM. The function glm(formula, family=quasi(var="var function")) lets me choose from a selection of built in variances, but I want to define my own function for the variance. Is there an S-plus

Hi All, I am having some problems with my R compile and matrix.c My config setings are:- setenv CC "cc -xarch=amd64" setenv F77 "f95 -xarch=amd64" setenv CXX "CC -xarch=amd64" setenv CFLAGS "-xO5 -xlibmil -dalign" setenv FFLAGS "-xO5 -xlibmil -dalign" setenv CXXFLAGS "-xO5 -xlibmil -dalign" setenv SHLIB_CXXLDFLAGS -lCstd setenv LDFLAGS

Hi, I am trying to compile R-2.1.1 on Solaris10, with the Studio10 compilers. When I try to compile 64bit with CFLAGS="-xarch=amd64" export CFLAGS I get a configure failure on checking for rl_callback_read_char in -lreadline... no checking for history_truncate_file... no configure: error: --with-readline=yes (default) and headers/libs are not available unset CFLAGS and its fine

Here's one way. Suppose your "time series" is in a vector called "x". top10 <- sort(x, decreasing=TRUE)[1:10] mean.index <- mean(which(x %in% top10)) HTH, Andy > -----Original Message----- > From: James Brown [mailto:jdb33 at hermes.cam.ac.uk] > Sent: Tuesday, September 23, 2003 7:51 AM > To: r-help at stat.math.ethz.ch > Subject: [R] Rank and