search for: hauck

Hello, does somebody have a tool to convert a /etc/passwd to a smbpasswd with getting a valid Lan Manager and NT hash. or does anybody have a trick, how I can synchronise the /etc/passwd with the smbpasswd without changing a unix passwd twice (passwd,smbpasswd). Thanks, Martin *********************************************************************** ** Martin Schuster ** Nortel DASA Network

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 06/16/2011 01:47 PM, Rob James wrote: > Ben, > > Thanks for this. Very helpful and clearly others have tripped over the > same problem > I would have supposed that the solution was to ask lrm (or glm) to use > LR rather than Wald, but I don't see syntax to achieve this. Typically drop1 or dropterm (MASS package) will drop

...the interesting parts of my smb.conf: passwd chat debug = True unix password sync = True passwd program = /sbin/passwd %u passwd chat = Old*NIS*password: %o\n *New*password: %n\n *Retype*new*password:%n\n *The*NIS*passwd*has*been*changed* -- _ _ _ _ _ _ RAINER HAUCK |\/| |\ | |\/| Institut fuer Informatik / Dept. of CS | | | \| | | Ludwig-Maximilians-University Munich ======= TEAM ======= Oettingenstr. 67, 80538 Munich, Germany Munich Network Management Team Room D01,Phone +49-89-2178-2155,Fax-2262 Muenchner Netz...

I am trying to develop a new webapp using Rails 1.2.1. I am installing it onto a production web server running Apache w/ fastcgi. The server already has some older webapps running on it using an older version of Rails. The apps are not installed in the document root; they each have their own subdirectory which is a symlink for the apache document root to the "public" directory of each

...nf. What am I doing wrong? Did I understand the story about the chat the right way? Do you need ALLOW_CHANGE_PASSWORD to change the samba-password (to my understanding it's only needed if youwant to change the unix-password aswell)? Any help would be appreciated! Thank you very much, Rainer Hauck The output in the log.smb file at a debug level of 100 (compiled with -DEBUG_PASSWORD) is as follows: ... adding IPC service 03/31/1998 16:04:55 changed root to / open_oplock_ipc: opening loopback UDP socket. bind succeeded on port 0 open_oplock ipc: pid = 12845, oplock_port = 4300 priming nmbd...

...shtml was not found on this server. [search of mail archives] Not Found The requested URL /search/smb-mail.shtml was not found on this server. I've tried a couple of the mirrors but they are all have the same errors. Are you planning on continuing this search fascility? Thanks.. Leon Hauck leon@progcpu.com

I have a very simple problem. When using glm to fit binary logistic regression model, sometimes I receive the following warning: Warning messages: 1: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, 2: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start,

...all of the others approximations based on the Wald idea that bhat^2 ------------ Var(bhat) is asymptotically Chi-square? And that sqrt(Chi-square) is Normal. While I'm asking, I wonder if glm should report them at all. I've followed up on Prof Ripley's advice to read the Hauck & Donner article and the successors, and I'm persuaded that we ought to just use the likelihood ratio test to decide about individual parameters. -- Paul E. Johnson Professor, Political Science 1541 Lilac Lane, Room 504 University of Kansas

...unction in the MASS library working very well on my binomial GLMs and I have tried it (using glm () , family=gaussian) but it gives NAs according to below. Does the confint() function not accept gaussian GLMs? Could there be convergence problems in the GLM? Note the very low R2-value. Could the Hauck & Donner phenomenon discussed in V & R (1999) occur in a gaussian GLM? I guess not and I have tried with different epsilon but it does not change anything. I use R 1.1.0 on Windows 98. Sorry to bother you about this but earlier some R users had problem using the Up arrow key to get th...

As suggested in my earlier message, I have a large population of independent variables and a binary dependent outcome. It is expected that only a few of the independent variables actually contribute to the outcome, and I'd like to find those. If it wasn't already obvious, I am *not* a statistician. Not even close. :-) Statistician colleagues have suggested that I use logistic

Hello R Users, when I use summary(glm) for a logistic regression model with logit as link function I get one column "z value". What kind of test does R use? (I would have expected a t-test). Thanks, Anne -- GMX - Die Kommunikationsplattform im Internet. http://www.gmx.net -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I have tightened the tolerances in glm.control in R-devel (aka 1.8.0 Under Development) from epsilon = 1e-4 to 1e-8, and increases maxit from 10 to 25. Normally the effect is to do one more iteration and get more accurate results. However, in cases of partial separation several more iterations will be done and it will be clearer from the results which parameters are converging and which are

I keep getting a blank page containing only the following: "There was a controller specfic error processing your request." Though I have the following in my application.rb def rescue_action_in_public(exception) case exception when UnknownAction, ActiveRecord::RecordNotFound then render :controller => "application", :action =>

Dear R-help, I am trying to make logistic regression analysis using the R function "glm", with the parameter family set to binomial, in order to use a logistic regression model. I have 70 samples. The dependent variables has two levels (0 and 1) and one of the independent variables has too two levels (0 and 1). The variables associate in the way shown in the table:

Hi, I am puzzled by the relationship between the p-values asociated with the coefficients of a univariate logistic regression involving categorical variables and the p-value I get from Fisher's exact test of the associated 2 x 2 contingency table. (1) The 2-sided p-value for the table is ~ 0.0015, whereas the p-value for the independent is 0.101 and the p-value for the intercept is

Hi, I am trying to fit the following model: sr.reg.s4.nore <- survreg(Surv(age_sym4,sym4), as.factor(lifedxm), data=bip.surv) Where age_sym4 is the age that a subject develops clinical thought problems; sym4 is whether they develop clinical thoughts problems (0 or 1); and lifedxm is mother's diagnosis: BIPOLAR, MAJOR DEPRESSION, or CONTROL. I am interested in whether or not

Dear list, I want to perform a logistic regression analysis with multiple categorical predictors (i.e., a logit) on some data where there is a very definite relationship between one predicator and the response/independent variable. The problem I have is that in such a case the p value goes very high (while I as a naive newbie would expect it to crash towards 0). I'll illustrate my problem

Hello all, I've come across an online posting http://www.biostat.wustl.edu/archives/html/s-news/2001-10/msg00119.html that described how to get confidence intervals for predicted values from predict.glm. These instructions were meant for S-Plus. Yet, it generally seems to work with R too, but I am encountering some problems. I am explaining my procedure in the following and would be most

Hallo all, I have the following glm model: f1 <- as.formula(paste("factor(y.fondi)~", "flgsess + segmeta2 + udm + zona.geo + ultimo.prod.", "+flg.a2 + flg.d.na2 + flg.v2 + flg.cc2", " +(flg.a1 + flg.d.na1 + flg.v1 + flg.cc1)^2", " + flg.a2:flg.d.na2 + flg.a2:flg.v2 +

I am fitting models to the responses to a questionnaire that has seven yes/no questions (Item). For each combination of Subject and Item, the variable Response is coded as 0 or 1. I want to include random effects for both Subject and Item. While I understand that the datasets are fairly small, and there are a lot of invariant subjects, I do not understand something that is happening here, and in