similar to: Clients disconnecting and msword problem.

The client computer tell me that "no more disk space available" writing a msword file to a samba server ( centos 4.2, samba 3.x.??-beta, not shure what version ). Tryed from another pc, the same error. Tryed with another file type ( es: msexcel ) no problem. Double checked permissions, all seems ok. It was working until yesterday. Strange behavior and don't know what to

Hi. I have to forecast a time series of a Internet network traffic bitrate. The data are in file http://www.forumaltavilla.it/joomla/datitesi/dati.datand the sampling time is every 0.05 seconds. Now, i want to use HoltWinters forecasting. This is my script. dt=1.58443823e-9 #0.05 seconds in years dati.ts=ts(scan("dati.dat"),start=0,deltat=dt) model=HoltWinters(dati.ts)

Dear All, I'm happily extracting data of temperature from an oracle db under R via RODBC. After manipulating the extracted data I put them into a data.frame 'dati' which is as follows: > dati DATA tm. UDINE/RIVOLTO tm.TORINO/CASELLE 1 2005-07-01 22.35 23.80 2 2005-07-02 22.70 22.85 3 2005-07-03 23.80

I'm learning how to use tapply. Now I'm having a go at the following code in which dati contains almost 600 lines, Pot - numeric - are the capacities of power plants and SGruppo - text - the corresponding six technologies ("CCC", "CIC","TGC", "CSC","CPC", "TE"). .....................................................

Have you seen : ( centos/redhat ) https://outsideit.net/realmd-sssd-ad-authentication/ ( debian/ubuntu ) http://www.alandmoore.com/blog/2015/05/06/joining-debian-8-to-active-directory/ but i must say, i havent tested/tried these, i dont use sssd. But i think these are usefull for you to read at least. If you use the debian variant, you may need to install also : One or more of these :

Dear all, I am dealing with the following (apparently simple problem): For some reasons I am interested in passing variables from a dataframe to a specific environment, and in fitting a standard glm: dati<-data.frame(y=rnorm(10),x1=runif(10),x2=runif(10)) KK<-new.env() for(i in 1:ncol(dati)) assign(names(dati[i]),dati[[i]],envir=KK) #Now the following two lines work correctly:

On a Centos 7 minimal fresh install and samba 4.4.4 I have follow this howto: http://www.hexblot.com/blog/centos-7-active-directory-and-samba and I have Joining to an Active Directory server and login to it with domain user without problem. My problem occur when I try from windows to modify some new rights (ACL's) to new folder on samba share. The folder is created correctly but if I add

I've redirected this reply from r-help to the bugs list. On 11/3/2006 8:25 AM, vito muggeo wrote: > Dear all, > I am dealing with the following (apparently simple problem): > For some reasons I am interested in passing variables from a dataframe > to a specific environment, and in fitting a standard glm: > > dati<-data.frame(y=rnorm(10),x1=runif(10),x2=runif(10)) >

https://bugzilla.samba.org/show_bug.cgi?id=5695 Summary: rsync local timeout Product: rsync Version: 3.0.3 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy: gabriele.tozzi@gmail.com QAContact:

Dear R-users, I've built these functions usefell for me to import/export data from/to Excel: importa.da.excel<-function(){read.delim2("clipboard", dec=",") ## questa funzione consente di importare dati da Excel in R ## selezionare in Excel le celle che contengono i dati, ## compresi in nomi delle colonne ## Autore: Vito Ricci email:vito_ricci at yahoo.com ## Data di

Samba file server (Server role: ROLE_DOMAIN_MEMBER) joined to Win2008 ADDC I have a strange problem with ACLs and "vfs object = recycle" enabled This is my share entry > [dati] >         comment = Cartella Dati x tutti >         path = /u/samba/dati/ >         read only = no > >         Veto files = /*.pst/*.ost/ > >         inherit acls = yes >

Hello everybody. I got a strange problem, which I hope to solve with your help. I'm doing "remote backups" using rsync in an ssh tunnel. In the last setup I realized, something is driving me crazy and I can't find *what* the problem is. I managed to successfully login via ssh in a "passwordless" way (by means of RSA-keys). After this step is done and I'm logged

Hi R users. I've got a problem in producing the pdf file from Latex with R code. When I run the code Sweave("example.Rtex") in R it seems working, but when I run the Latex file it doesn't. The code error shown to me is below: *Runaway argument? {echo=FALSE} data<- read.csv("C:\\Users\\Daniele\\Desktop\\dati\\dati_england ! File ended while scanning use of \FV at

I have defined a daily timeseries for the 365 days of 2003 issuing: myts = ts(dati[,2:10],frequency=365,) > myts Time Series: Start = c(1, 1) End = c(1, 365) Frequency = 365 and mytime = as.POSIXct(strptime(as.character(dati[,1]),format="%Y-%m-%d")) contains the dates from "2003-01-01" to "2003-12-31" How can I combine mytime and myts in order to list

Hello, to plot the result of a singular non linear regression (using nls) I usually use the function plotfit, for example: r.PTG.V<-nls(PTG.P~ fz1(Portata, a,b), data=dati, start=list(a=10, b=10), nls.control(maxiter=200), algorithm='port', trace=TRUE, na.action=na.omit, lower=list(a=0, b=10), upper=list(a=100, b=100)) plotfit(r.PTG.V) I tried to use the function plotfit on the

DeaR R-useRs, I'm trying to fit a logist model with these data: > dati y x 1 1 37 2 1 35 3 1 33 4 1 40 5 1 45 6 1 41 7 1 42 8 0 20 9 0 21 10 0 25 11 0 27 12 0 29 13 0 18 I use glm(), having this output: > g<-glm(y~x,family=binomial,data=dati) Warning messages: 1: Algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart =

I am using Rprof() to help find ways to improve performance. I found a function whose total seconds and self seconds were large. I replaced it with something else. The something else had a small number of total seconds and self seconds. But the total time did not decrease. I don't understand how that could be, and would appreciate any suggestions. Thanks -Don Details, unfortunately

Hello, I can`t figure out how can increase the velocity of the fitting data by nls. I have a long data .csv I want to read evry time the first colunm to the other colunm and analisy with thata tools setwd("C:/dati") a<-read.table("Normalizzazione.csv", sep=",", dec=".", header=F) for (i in 1:dim(a[[2]]]) { #preparazione dati da analizzare

How about setting: map untrusted to domain = yes The default changed here. But it would still help if we could see the smb.conf as the big difference with 4.8 is that winbind needs to run now. This might also do something like this. Regards Christian Am 11.01.19 um 10:46 schrieb L.P.H. van Belle via samba: > I gave you the most simple option. > > And the difference is. >

Hello I'm having trouble figuring out how to use the output of "segmented()" with a new set of predictor values. Using the example of the help file: ??set.seed(12) xx<-1:100 zz<-runif(100) yy<-2+1.5*pmax(xx-35,0)-1.5*pmax(xx-70,0)+15*pmax(zz-.5,0)+rnorm(100,0,2) dati<-data.frame(x=xx,y=yy,z=zz) out.lm<-lm(y~x,data=dati) o<-## S3