search for: mair

...rc2, rc4. When I start tar backup with it: smbclient //comp-32/volume pass -U user -d0 -Tc /dev/tape0 > /dev/null [2003/09/23 08:27:46, 0] client/clitar.c:do_tar(830) directory \Kart-32\ [2003/09/23 08:27:46, 0] client/clitar.c:do_tar(830) directory \Kart-32\mairs\ [2003/09/23 08:27:46, 0] client/clitar.c:do_tar(830) directory \Kart-32\mairs\Kart-32\ [2003/09/23 08:27:46, 0] client/clitar.c:do_tar(830) directory \Kart-32\mairs\Kart-32\mairs\ [2003/09/23 08:27:46, 0] client/clitar.c:do_tar(830) directory...

On Fri, Apr 22, 2016 at 1:32 AM, Louise Mair <louise.mair at slu.se> wrote: > Dear R Users, > > I am encountering a problem when reading nc files into R using the ncdf > and ncdf4 libraries. The nc files are too large to attach an example (but > if someone is interested in helping out I could send a file privately via &g...

Dear R Users, I am encountering a problem when reading nc files into R using the ncdf and ncdf4 libraries. The nc files are too large to attach an example (but if someone is interested in helping out I could send a file privately via an online drive), but the code is basic: for(i in 1:length(thesenames[,1])){ data <- nc_open(paste(INDIR, thesenames[i,c("wholename")],

...06, 6] nsswitch/winbindd.c:new_connection(596) accepted socket 229 [2005/12/05 16:29:06, 10] nsswitch/winbindd.c:process_request(325) process_request: request fn AUTH_CRAP [2005/12/05 16:29:06, 3] nsswitch/winbindd_pam.c:winbindd_pam_auth_crap(538) [ 0]: pam auth crap domain: [LINUX] user: MAIRE [2005/12/05 16:29:06, 8] lib/util.c:is_myname(1874) is_myname("LINUX") returns 0

Hello, I'm having problems with using smbclient on a win2k share. The server runs samba 3.0.14a on Solaris 9. I want to tar the whole directory of a share. Into a file on the server What I found out so far is, that it works until a maximum file count of 35. It is not size dependant but if the file count in that share exceeds more than 35 the smbclient hangs for ever and with the time is

...in addition i get the following errors in log.winbind. ... [2004/09/22 06:17:12, 1] nsswitch/winbindd_ads.c:ads_cached_connection(81) ads_connect for domain SCHARRNET failed: Invalid credentials ... [2004/09/21 21:56:01, 1] libsmb/clikrb5.c:ads_krb5_mk_req(321) krb5_get_credentials failed for maire$@SCHARRNET.DE (Unknown error -1765328347) [2004/09/21 21:56:01, 1] libsmb/cliconnect.c:cli_session_setup_kerberos(544) spnego_gen_negTokenTarg failed: Unknown error -1765328347 ... If we restart winbindd, nmbd and smbd samba runs normal again (until next restart). Can anybody give us a hint w...

Hello, I am working with a dataset which essentially has only one column - a list of distances in metres, accurate to several decimal places. eg distance 1000 6403.124 1000 1414.214 1414.214 1000 I want to organise this into a frequency table, grouping into categories of 0 - 999, 1000 - 1999, 2000-2999 etc. I'd also like the rows where there are no data points in that category to

Hello, I have a distribution dataset for species consisting of xy coordinates at the 1km resolution, with only presence data. So a simplified example of a species distribution might be: y <- rbind(as.integer(rnorm(100,50,20)), as.integer(rnorm(200,100,30)), as.integer(rnorm(100,180,15))) x <- rbind(as.integer(rnorm(200,50,20)), as.integer(rnorm(200,100,20)), as.integer(rnorm(100,200,15)))

...yone suggest > some kind of graphical display that best represents this kind of flow? > > In terms of modelling, I can only think of a count data problem like a > 5X5 matrix. Has anyone tried another approach? > > Thanks in advance. > > Kelvin > > -- Dr. Patrick Mair Department of Statistics and Mathematics WU Wirtschaftsuniversit?t Wien Vienna University of Economics and Business Augasse 2-6, 1090 Vienna, Austria Phone: ++43 1 31336 4844 Fax: ++43 1 31336 774 Homepage: http://statmath.wu.ac.at/~mair

homals-0.9.0 is on CRAN -- by Jan de Leeuw and Patrick Mair This package implements the methods discussed in Gifi, Nonlinear Multivariate Analysis, Wiley, 1990. In the Gifi terminology it covers homals, princals, canals, morals, criminals, and overals. The R implementation fills several gaps in Gifi, adding multiple ordinal, numerical, and polynomial...

anacor-0.9.0 is on CRAN (by De Leeuw and Mair) anacor does correspondence analysis and canonical correspondence analysis. It can make row plots, column plots, joint plots, Benz?cri plots, regression plots, and transformation plots. Where appropriate, plots can be in 3d using either rgl or scatterplot3d. Row and column points can be in standar...

At www.jstatsoft.org we now have three special volumes Volume 22, Ecology and Ecological Modelling in R (Thomas Kneib and Thomas Petzoldt, eds.) Volume 20, Psychometrics in R (Jan de Leeuw and Patrick Mair, eds.) Volume 18, Spectroscopy and Chemometrics in R (Kate Mullen and Ivo van Stokkum, eds.) Coming soon -- Econometrics in R -- Political Methodology in R Gleam in my eye -- Geosciences / Geostatistics in R Additional suggestions/proposals always welcome. === Jan de Leeuw; Distinguished...

homals-0.9.0 is on CRAN -- by Jan de Leeuw and Patrick Mair This package implements the methods discussed in Gifi, Nonlinear Multivariate Analysis, Wiley, 1990. In the Gifi terminology it covers homals, princals, canals, morals, criminals, and overals. The R implementation fills several gaps in Gifi, adding multiple ordinal, numerical, and polynomial...

...rder partial derivatives of the values/vector wrt the parameters. This makes it easy to apply the delta method to CA, CCA, MCA, PCA and friends. But on a really large example you may be in for an unpleasant surprise. There is also a paper with the formulas in the same directory. Note that Patrick Mair and I are in the process of converting some of the psychoR repository into CRAN packages and JSS papers/snippets. === Jan de Leeuw; Distinguished Professor and Chair, UCLA Department of Statistics; Director: UCLA Center for Environmental Statistics (CES); Editor: Journal of Multivariate Analys...

anacor-0.9.0 is on CRAN (by De Leeuw and Mair) anacor does correspondence analysis and canonical correspondence analysis. It can make row plots, column plots, joint plots, Benz?cri plots, regression plots, and transformation plots. Where appropriate, plots can be in 3d using either rgl or scatterplot3d. Row and column points can be in standar...

...? I'm sorry, i found no abnormalities in the samba logs. to your support, an extract of our smb.conf: [global] unix charset = ISO8859-15 display charset = ISO8859-15 workgroup = SCHARRNET server string = security = DOMAIN password server = MAIRE socket options = SO_KEEPALIVE IPTOS_LOWDELAY TCP_NODELAY load printers = No os level = 2 local master = No domain master = No ldap ssl = no idmap uid = 10000-20000 idmap gid = 10000-20000 template homedir = /data/home...

Edwin Just what I was searching for. Thanks for sending it to me. Kataniya -------Original Message------- From: Maire [mailto:ob at qx.com] Sent: Wed, 30 Nov 2005 19:56:08 +0100 To: Tommy Subject: Eulah Purchase your health aids for less money here. Good Day Treva, Express transport service makes sure that you get your supplements shipped to you in the smallest amount of time necessary. Our webpage provides...

Hello all, I'm trying to set up my samba server rev 3.2.3 on opensuse 10.3 as a member of the active directory domain, so that client connections can be authenticated by the AD server. Unfortunately when I try to connect to the samba server from a windows XP system, it keeps on asking me for user name and password. I've been reading through various howto's and descriptions but no

....4 (3.0.6 is affected too, we tested it) Filesystem for data storage: XFS smb.conf: [global] unix charset = ISO8859-15 display charset = ISO8859-15 workgroup = SCHARRNET realm = SCHARRNET.DE server string = security = ADS password server = maire.scharrnet.de, maitre.scharrnet.de log level = 2 socket options = SO_KEEPALIVE IPTOS_LOWDELAY TCP_NODELAY os level = 2 ldap ssl = no idmap uid = 10000-20000 idmap gid = 10000-20000 template homedir = /data/home/%U winbind separator = +...

Hello, I am trying to fit gamma, negative exponential and inverse power functions to a dataset, and then test whether the fit of each curve is good. To do this I have been advised to calculate predicted values for bins of data (I have grouped a continuous range of distances into 1km bins), and then apply a chi-squared test. Example: > data <- data.frame(distance=c(1,2,3,4,5,6,7),