similar to: Time sync

Hi guys, I have a domain with Samba 4.0.5 domain controllers and also a failover DRBD shared disk, where the "active" DC controlls the access to the disk. DOMAINC01 - 10.48.16.150 DOMAINC02 - 10.48.16.151 DOMAINCHA - 10.48.16.155 << this would be the failover IP, which works perfectly on Windows XP clients. I can see the shares, just like on DOMAINC01 or DOMAINC02 and if the

Hai, Samba 4.1.5 I have an old problem with my failover IP/name which is 10.48.16.155/domaincha. The 2 servers IP address and DNS names are 10.48.16.150/domainc01 and 10.48.16.151/domainc02. Domaincha always points to the "active" server so when any of the servers dies my users couldn't see anything, and also i can set up home directories to point the failover address instead of 1

Robert Gurdon robert.gurdon at gmail.com 12:49 (0 perce) c?mzett: samba Hai, I would like to set up a DFS with this configuration: I have 3 Samba4 servers (4.1.4). 2 of them should work as a DFS "client" the third one will be the DFS stotage (actualy this servers has the required amount of space). So, i configured all shares on DC3 and point to those shares on DC1 and DC2. Everything

Hello, I would like to join my samba4 to my existing samba4 DC. The existing samba4 is a fresh, default install, every tests worked fine, provisioned like this: samba-tool domain provision --realm=test.domain.lan --domain=test.domain --host-ip=10.48.16.150 --adminpass='password' --dns-backend=BIND9_DLZ --ldapadminpass='password' --server-role=dc --use-xattrs=yes --use-rfc2307

Hi, I configured my NTP server in samba 4 according to the article " https://wiki.samba.org/index.php/Time_Synchronisation" however I verified that the NTP server does not respond to requests from Windows NTPv3 clients, it only responds to NTPv4. Following my ntp.conf: # /etc/ntp.conf, configuration for ntpd; see ntp.conf(5) for help driftfile /var/lib/ntp/ntp.drift # Enable this if

Hi, I have spent a fair amount of time trying to solve this problem and tried things like disabling checksums etc. The problem is like this: 1. I boot my dom0 without xend running and I can resolve and ping google. 2. I start xend (without and domU domains up) and after a while I can no longer resolve domain names, but I can ping the public IP addresses. 3. I start up a domU (xm create -c xyz)

Dear list, I am trying to create a three-way table with percent occurrence instead of raw frequencies. However, I cannot get the results I expected: I have the following table: > ftable(table( mannerDF$agem, mannerDF$target, mannerDF$manner )) <snip> 50 bak 0 0 0 0 1 0 pak 0 0 0 0 3 0 sak

Hi, I have a function that approximates some data and indicates "segments". I'd like to plot the original data, and then the linear approximations on top of it. (Ideally, just a subset of N rows at a time, as the data set is large.) I can't figure out a clean way to do this. Suggestions? here is some sample data: ================================== Row X Seg ?.

Dear R experts, I have a Matlab code which I am translating to R in order to examine and enhance it. First of all, I need to reproduce in R the results which were already obtained in Matlab (to make sure that everything is correct). There are some matrix manipulations and '\' operation among them in the code. I have the following data frame > ABS.df Pro syn

I have multiple VM's on the same KVM host. One of the VM's is running NTP. All VM's can reach eachother, no firewall in between. But the problem is, the VM's cannot communicate over port 123/udp to the NTP VM. Network: 172.24.100.0/22 KVM: 172.24.101.50 VM ntp: 172.24.102.10 VM foo: 172.24.102.20 1. On the NTP server, listen for any incoming packets from VM foo

Hi r-sers, I have a data of relative frequencies for the interval of 0-20, 20-40,...380-400.  I would like the two data on the same graph using the same x-axis label.  My question is how to get a smooth curve using kernel density code if it possible for this data.   > cbind(rel_obs,rel_gen)           rel_obs rel_gen  [1,] 0.000000000  0.0000  [2,] 0.092534175  0.0712  [3,] 0.105152471  0.1092

I have a data set that I display using barplot. I don't know what you call it, but when I look at it, it looks like this: > lsu (0,0.1] (0.1,0.2] (0.2,0.3] (0.3,0.4] (0.4,0.5] (0.5,0.6] A 0.052631579 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 B 0.000000000 0.000000000 0.001007049 0.003021148 0.000000000 0.000000000 E 0.200000000 0.000000000

I have the following matrix: > dat [,1] [,2] [,3] [,4] foo 0.7574657 0.2104075 0.02922241 0.002705617 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 foo 0.0000000 0.0000000 0.00000000 0.000000000 and given this:

Hi everybody, I am sorry that I am kind of spamming this forum, but I have searched for some input everywhere and cant really find a nice solution for my problem. Data looks like: price 2011-11-01 08:00:00 0.000000000 2011-11-01 08:00:00 0.000000000 2011-11-01 08:02:00 0.000000000 2011-11-01 08:03:00 -0.017033339 2011-11-01 08:13:00 0.000690001 2011-11-01

Dear members. I am having problems to understand the kmeans- results in R. I am applying kmeans-algorithms to my big data file, and it is producing the results of the clusters. Q1) Does anybody knows how to find out in which cluster (I have fixed numberofclusters = 5 ) which data have been used? COMMAND (kmeans.results <- kmeans(mydata,centers =5, iter.max= 1000, nstart =10000)) Q2) When I

I have managed to create a data frame like this: > tsus_same_mean[1:10,] PID Grp Dist PercAln PercId 1 12638 Acidobacteria 0.000000000 1.0000000 1.0000000 2 87 Actinobacteria 0.000000000 0.9700000 0.9700000 3 92 Actinobacteria 0.008902000 1.0000000 0.9910000 4 94 Actinobacteria 0.000000000 1.0000000 1.0000000 5 189 Actinobacteria 0.005876733

Hi, I have the binned data (observed and generated from model)  that I would like to test using the anderson-darling goodness of fit test.  But I'm not sure which package in R to use. I tried ad.test(...) but it does not recognise the test by Vito Ricci in FITTING DISTRIBUTIONS WITH R   > ad.test(hist_hume_beec[,1],hist_hume_beec[,2]) Error: could not find function "ad.test"

Hi, I need further help with my GAMs. Most models I test are very obviously non-linear. Yet, to be on the safe side, I report the significance of the smooth (default output of mgcv's summary.gam) and confirm it deviates significantly from linearity. I do the latter by fitting a second model where the same predictor is entered without the s(), and then use anova.gam to compare the

I did this: nb <- naiveBayes(users, platform) pl <- predict(nb,users) nrow(users) ==> 314781 ncol(users) ==> 109 1. naiveBayes() was quite fast (~20 seconds), while predict() was slow (tens of minutes). why? 2. the predict results were completely off the mark (quite the opposite of the expected overfitting). suffice it to show the tables: pl: android blackberry ipad

Dear Wiza[R]ds, I have the following data in a data.frame. I need to do an anova with multiple comparison but I don't know how to factor the groups for analysis. There are 3 groups, 1,2 and 3 labelled in column 1. Help appreciated with thanks in advance. Group SI Sif SG Io I2 lol2 1 9.08e-05 9.08e+00 0.060842287 1.798556446 32.574500