similar to: NT Client Authentication with Samba Printing

Hello all, I didn't receive any replies to my question the first time, so here it is again: The environemt is as follows - a university computer lab with clients running WinNT4.0 SP5, a Samba 1.9 server on DU4.0b and ppr as the printing daemon/accounting agent. Account A = generic NT lab machine login Account B = valid unix login with permissions to print The NT logins are necessarily

0 down vote favorite I notice that in my production enviornment (where I have memcached implemented) in see a cache-control - max-age header in firebug, anytime I am looking at an index page (posts for example). Cache-Control max-age=315360000 In my dev environment that header looks like following. Cache-Contro private, max-age=0, must-revalidate As far as I know I have not done anything

I'm trying to cross-compile R on a Mac OS X box to target Win32. It works quite well, everything works, except for one fortran file ppr.f in the stats package: ---------- Making package stats ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata making DLL ... i386-mingw32-g77 -O2 -Wall -c ppr.f -o ppr.o ppr.f:803: sorry, unimplemented: data

I'm trying to cross-compile R on a Mac OS X box to target Win32. It works quite well, everything works, except for one fortran file ppr.f in the stats package: ---------- Making package stats ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata making DLL ... i386-mingw32-g77 -O2 -Wall -c ppr.f -o ppr.o ppr.f:803: sorry, unimplemented: data

Dear R listers -- I have several questions about using the ppr command in the modreg module. I discovered -- quite by accident -- that if I re-order the data, I obtain different results. The output below shows what I mean. I have two datasets (dataset1 and dataset2) that are identical (tested using proc compare in SAS) except for the fact that the records are in different order. Below I have

Hi all, I am doing a projection pursuit regression using the ppr() function from modreg. I would also like to use predict.ppr(). However, I cannot find any information about it in the help files. There is a link to predict.ppr in the index for modreg, but that link is to the help for ppr(). Has predict.ppr() not been implemented? If not, does anyone have a suggestion as to how to implement

Hi, Recently, I installed the 1.1.0 version of R (for Windows), since it includes an implementation of Projection Pursuit (I failed to write my own version of PP as a standalone C++ program). As far as I know, R offers two interfaces/sintax for the ppr() function. The first one requieres a regression formula and a data frame. The other requieres X, a matrix with the explanatory variables, and Y,

Dear All, Under WinNT4.0sp5 using the binaries downloaded from CRAN (version 1.0.0), if I want to do a plot without the tick-marks and numbers on the x-axis, the following: > x <- rnorm(10) > y <- rnorm(10) > plot(x, y, xaxt="n") does not give what I expect, i.e. it gives the same than "plot(x, y)". However, the following works: > par(xaxt="n")

Dear all, I have been doing tests using SVM, random forests and PPR. The data is from a data stream (that is, the data for training and for test is always increasing / changing). With SVM and random forests everything is ok, but with ppr there are situations where it crashes. For the examples I have used I noticed that if one of the variables has just one value (it can happen), it crashes for

Sorry about the lack of detail. I am running R v.1.2.2. I can recast my question (which I think I have partially answered) more succinctly as follows: 1. This seems to work (note that group takes values 1,2,3,4, or 5): my.newfun <- function(x) myfile <- lm(award ~ ilogemp + ilogage, x) test.by <- by(wintemp, as.factor(wintemp$group), my.newfun) 2. This does not work (leaving aside

I used the supersmoother function in the modreg package as follows: super <- supsmu(ilogemp,award) Then I decided that I might want additional explanatory variables (other than ilogemp) in my model. The ppr function in modreg seemed a logical extension of supsmu from univariate to multidimensional explanatory variables. As a "check" I ran the following: pprest <-

supsmu(periodic=TRUE) can crash R by reading before start of array. To reproduce: set.seed(1) xx <- runif(29000) yy <- rnorm(29000) span <- 0.49 i <- 1 while(i < 200){ cat(i,"\n") int <- supsmu(xx,yy,periodic=T,span=span) i <-i+1 } results in: 1 2 3 4 5 6 7 8 9 Program received signal SIGSEGV,

Hopefully the last patch from me to UTF-8 issues. Metaflac can now print all console supported characters from tags on the screen. It also fixes metaflac to be able to import its own exports back without non-ascii characters getting mutilated. And --no-utf8-convert now works properly with import and export commands. I updated my Windows binary archive with these changes for any interested

Dear R listers -- The program below does the following tasks: 1. It creates a file (wintemp4) that is a subset of alldata4 consisting of "winner" records in 50 industry groups (about 5400 obs); 2. It defines a function (myppr1) that runs the ppr function in modreg once to generate goodness of fit (sum of squared errors) measures by number of terms included in model and then reruns

The pursuit projection packages ppr is an excellent contribution to R. It is great for one-to-three ridge fits, often somewhat intuitive, and for multi-ridge fits, where it at least describes a lot of variance. Like many folk, I need to report the fits obtained from ppr to the greater, outside, non-R world. It is fairly obvious how to use the terms alpha and beta to report on

Hello again! Thanks to Dr. Brian Ripley, the make problem I reported earlier has been solved, and R-0.64.1 is now successfully installed and tested. There were two essential problems with the stock configuration: (i) the Fortran option -fPIC was not being propagated to certain Makefiles further down the tree; (ii) gmake was not being recognized when the library files were being

Hi Rowland, I'm still seeing the problem that I described earlier. I have however uncovered some more information that might help resolve the issue. On Thu, 18 Apr 2019 at 13:10, Mason Schmitt <mason at ftlcomputing.com> wrote: > Hi Rowland, > > > I hope someone has seen this before and knows what's going on. Given >> > the time delay between the problem

I have posted my problem on the link below, but didn't get any answer. I am hoping someone here can help me with this issue. Here's my problem: I am using H323 to talk between Asterisk and Avaya IP Office 500. For some strange reason, when we are talking on a VoIP call, we get disconnected after 10+ minutes. We have two other Elastix box, but none of them are getting disconnected. From

Dear R list: I want to make separate estimates for each level of the variable "group." After consulting many sources I am stumped as to why the following does not work: > wintemp <- subset(alltemp, winner==1) > my.ppr <- function(x) + { + if(nrow(x) >= 50) { + pprfile <- ppr(award~ilogemp, data=x,nterms=5,max.terms=10,optlevel=3) + summary(pprfile) +

I am having a problem with mapping drives to a samba server (1.9.18p4 and 1.9.17) that is very reproducible. The 1.9.18p4 is a modified server that has some special krb5 support in it (in addition to the stuff you previously added that I sent you). Here are two examples that are repeatable. Each is preceeded by killing any samba daemons that are for connections from the host in question.