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...piling, configuring and running, my server is visible and all shares are browsable. If I would copy a file to this share (very first thing), an error pop ups (network resource is unavailable) and a zero byte file is on the share. On the samba server the following message is logged: Jan 7 10:47:01 mogh smbd[5545]: [2004/01/07 10:47:01, 0] lib/fault.c:fault_report(38) Jan 7 10:47:01 mogh smbd[5545]: =============================================================== Jan 7 10:47:01 mogh smbd[5545]: [2004/01/07 10:47:01, 0] lib/fault.c:fault_report(39) Jan 7 10:47:01 mogh smbd[5545]: INTERNAL ERROR...

...eparation Product: Portable OpenSSH Version: 7.2p2 Hardware: ix86 OS: Linux Status: NEW Severity: minor Priority: P5 Component: sshd Assignee: unassigned-bugs at mindrot.org Reporter: akshay.moghe at gmail.com I'm using `OpenSSH_7.2p2 Ubuntu-4ubuntu1, OpenSSL 1.0.2g-fips` and I've explicitly enabled UsePrivilegeSeparation. With this I notice that the [priv] process does not get reaped by its parent (sshd) and as a result is adopted by whatever pid 1 happens to be. Normally this is...

Hi all, I'm a beginner user of R. I am stuck at what I thought was a very obvious problem, but surprisingly, I havent found any solution on the forum or online till now. My problem is simple. I have a file which has entries like the following: #ID Value1 List_of_values ID1 0.342 0.01,1.2,0,0.323,0.67 ID2 0.010 0.987,0.056,1.3,1.5,0.4

Hello, This is a problem for which there seem to be several solutions online, but not really. My question was about plotting a curve over the histogram. All the previous posts and messages talk about generating a *density histogram*using (freq=F) and then plotting the density curve. However, I find that that seriously distorts my data and the plot becomes confounding to the viewer. I was

Hello, I'm a graduate student in Genetics, who has just started working with R. I have been trying to do a k-means clustering of an expression data compilation, which has lots of NA values in it. As suggested in a couple of earlier posts, I tried using na.omit() and the MICE imputation algorithm to take care of the NA, but they dont seem to work that well. na.omit() deletes the entries,