search for: gls1

Hi I get the following error when I try and get the AICc for a gls regression using qpcR: > AICc(gls1) Loading required package: nlme Error in n/(n - p - 1) : 'n' is missing My gls is like this: > gls1 Generalized least squares fit by REML Model: thercarnmax ~ therherbmax Data: NULL Log-restricted-likelihood: 2.328125 Coefficients: (Intercept) therherbmax 1.6441405 0.2998528...

...oad. At least if you decide to go with more disks for the raids, use several (not the built-in ones) controllers. Well, we have to take what our provider (hetzner) offers - SATA hdds or sata|nvme ssds. Volume Name: workdata Type: Distributed-Replicate Number of Bricks: 5 x 3 = 15 Bricks: Brick1: gls1:/gluster/md3/workdata Brick2: gls2:/gluster/md3/workdata Brick3: gls3:/gluster/md3/workdata Brick4: gls1:/gluster/md4/workdata Brick5: gls2:/gluster/md4/workdata Brick6: gls3:/gluster/md4/workdata etc. Below are the volume settings. Each brick is a sw raid1 (made out of 10TB hdds). file access to...

...Strahil suggested a separate thread might be better. current state: - servers with 10TB hdds - 2 hdds build up a sw raid1 - each raid1 is a brick - so 5 bricks per server - Volume info (complete below): Volume Name: workdata Type: Distributed-Replicate Number of Bricks: 5 x 3 = 15 Bricks: Brick1: gls1:/gluster/md3/workdata Brick2: gls2:/gluster/md3/workdata Brick3: gls3:/gluster/md3/workdata Brick4: gls1:/gluster/md4/workdata Brick5: gls2:/gluster/md4/workdata Brick6: gls3:/gluster/md4/workdata etc. - workload: the (un)famous "lots of small files" setting - currently 70% of the of the...

Actually, pure NVME-based volume will be waste of money. Gluster excells when you have more servers and clients to consume that data. I would choose? LVM cache (NVMEs) + HW RAID10 of SAS 15K disks to cope with the load. At least if you decide to go with more disks for the raids, use several? (not the built-in ones) controllers. @Martin, in order to get a more reliable setup, you will have to

Dear List: First, many thanks to those who offered assistance while I constructed code for the simulation. I think I now have code that resolves most of the issues I encountered with memory. While the code works perfectly for smallish datasets with small sample sizes, it arouses a windows-based error with samples of 5,000 and 250 datasets. The error is a dialogue box with the following: "R