similar to: samba remote procedure

Hello, I'm running NT 4.0 (ws & server) with SP5. Everything was running fine with samba 2.0.0, but after building and installing 2.0.4b (freebsd 2.2.8) trying to browse the server shares results in a "A remote procedure call (RPC) protocol error occured." net view \\myserver also produces the same error message: "System error 1728 has occurred. A remote procedure

Dear Samba list, I'm having a problem with browsing samba 2.0.0 from an NT Workstation (4.00.1381). When you try to browse the samba server, it returns with the error "\\machine\is not accessible. The remote procedure call failed." On the other hand, browsing works from a win95 and win98 machines. Printing and mounting shares work fine though if you explicitly specify the share.

Hi, I am a brand new user of R and I am trying to use the gam procedure with the package mgcv. I did a bit of my homework by consulting the R-manual, as well as the mgcv manual written by Simon Wood. I admit it was just a few hours, but what I am trying to do is really basic. Essentially, what I am trying to do is to generate the fitted values after the execution of the gam procedure and export

Dear R-wizards! I have been learning on my own how to use this fantastic program.. but I agree with some people that even with the manuals, the faq and so on.. when you are sitting fully alone.. progress can be ... slow... very slow indeed.. In fact sometimes, looking at the "solutions" provided by some of you- I am just flabbergasted to the point that I couldn't figure out how to

From: Uwe Ligges <ligges_at_statistik.tu-dortmund.de <mailto:ligges_at_statistik.tu-dortmund.de?Subject=Re:%20[R]%20Help%20with%2 0gam> > Date: Wed, 11 May 2011 19:08:38 +0200 On 11.05.2011 17:22, Zsolt Macskasi wrote: > Hi, > <http://tolstoy.newcastle.edu.au/R/e14/help/11/05/1036.html#1040qlink1> > I am a brand new user of R and I am trying to use the gam

Hi all, I have written some functionalities in C# and want to call them in R, maybe from another machine. I have found the following methods: 1. wrapper the C# code as Web Service: I noticed that there is a package named SSOAP, but it seems not yet finished and might be not fully compatible with the WDSL format used in Microsoft .NET Web service. 2. wrapper as DCOM Server: there are packages

WHAT I HAVE: I've inherited a production debian system. uname reveals kernel 2.4.18-bf2.4. I am now running samba 3.0.14a with a completely "stock from source" install (as part of my troubleshooting activities). The machine acts as a PDC for win2k clients. It uses smbpasswd for the password back end. There are approx 20 users. It also serves dhcp, ntp, mysql and apache. WHAT I

Is there a way to add residuals to plots produced by plot.gam in the mgcv package? I'm looking for something like what you get using resid=T in Splus plot.gam. Thanks in advance Toby -----Original Message----- From: Simon Wood [mailto:snw at mcs.st-and.ac.uk] Sent: 23 January, 2002 8:14 PM To: Toby.Patterson at csiro.au Cc: r-help at stat.math.ethz.ch Subject: Re: [R] multiple surfaces in

Dear R-Users, The following question is more of general nature than a merely technical one. Nevertheless I hope someone get me some answers. I have been using the mice package to perform the multiple imputations. So far, everything works fine with the standard regressions analysis. However, I am wondering, if it is theoretically correct to perform nonparametric models (GAM, spline

Thanks Simon, by cloning a smooth construct do you mean copying and modifying the smooth constructor code? Could you pleas elaborate on your answer? Which is the Predict.matrix method? 2018-01-12 3:20 GMT-06:00 Simon Wood <simon.wood at bath.edu>: > There probably is a way, but it involves some programming. You would need to > clone a smooth constructor (e.g. for the "cr"

Hi, a few comments below. First, from my experience and troubleshooting similar reports from others, a returned NULL from parallel::mclapply() is often because the corresponding child process crashed/died. However, when this happens you should see a warning, e.g. > y <- parallel::mclapply(1:2, FUN = function(x) if (x == 2) quit("no") else x) Warning message: In

On Tue, Apr 28, 2020 at 9:00 PM Shian Su <su.s at wehi.edu.au> wrote: > > Thanks Simon, > > I will take note of the sensible default for core usage. I?m trying to achieve small scale parallelism, where tasks take 1-5 seconds and make fuller use of consumer hardware. Its not a HPC-worthy computation but even laptops these days come with 4 cores and I don?t see a reason to not make

Hello, I'm actually using the "Step" procedure in R for multiple regression analysis. I'm using the stepwise selection which alternates between forward selection and backward elimination (direction "both" in the step procedure). I would like to know which F-levels R is using to enter and then to remove variables? I also would like which is the procedure to change

R-ers: I was wondering if anyone had suggestions on how to implement a GAM in a quantile fashion? I'm trying to derive a model of a "hull" of points which are likely to require higher-order polynomial fitting (e.g. splines)-- would quantreg be sufficient, if the response and predictors are all continuous? Thanks! --j

mgcv version 1.2 is on CRAN now. mgcv provides generalized additive models and generalized additive mixed models with automatic estimation of the smoothness of model components. Changes in this version are: * A new gam fitting method is implemented for the generalized case. It provides more reliable convergence than the previous default, but can be a little slower. See ?gam.method,

mgcv version 1.2 is on CRAN now. mgcv provides generalized additive models and generalized additive mixed models with automatic estimation of the smoothness of model components. Changes in this version are: * A new gam fitting method is implemented for the generalized case. It provides more reliable convergence than the previous default, but can be a little slower. See ?gam.method,

https://bugzilla.mindrot.org/show_bug.cgi?id=1529 Summary: Need a method to add new configuration options in a backwards-compatible fashion (avoiding "Bad configuration option") Product: Portable OpenSSH Version: 5.1p1 Platform: All OS/Version: All Status: NEW Severity:

Do NOT use mcparallel() in packages except as a non-default option that user can set for the reasons Henrik explained. Multicore is intended for HPC applications that need to use many cores for computing-heavy jobs, but it does not play well with RStudio and more importantly you don't know the resource available so only the user can tell you when it's safe to use. Multi-core machines are

For summary(GAM) in the mgcv package smooth the degrees of freedom for the F value for test of smooth terms are the rank of covariance matrix of \hat{beta} and the residuals df. I've noticed that in a lot of GAMs I've fit the rank of the covariance turns out to be 9. In Simon Wood's book, the rank of covariance matrix is usually either 9 or 99 (pages 239-230 and 259). Can anyone

Yes I am running on Rstudio 1.2.5033. I was also running this code without error on Ubuntu in Rstudio. Checking again on the terminal and it does indeed work fine even with large data.frames. Any idea as to what interaction between Rstudio and mclapply causes this? Thanks, Shian On 28 Apr 2020, at 7:29 pm, Simon Urbanek <simon.urbanek at R-project.org<mailto:simon.urbanek at