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Suppose I have a Variance-covariance matrix A. Is there any fast way to calculate correlation matrix from 'A' and vice-versa without emplying any 'for' loop? [[alternative HTML version deleted]]

Dear list, this seemed to me like a very trivial question, but finally I haven't found any similar postings with suitable solutions on the net ... Basically, instead of regressing two simple series of measures 'a' and 'b' (like b ~ a), I would like to use independent replicate measurements for each variable at each level (ie, instead of having just one 'a' and one

Good day. Is any way to boot PV VM without using pygrub? F.e. by supplying kernel image and initrd from dom0 filesystem? _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

Forwarded message: > In $openSSH/contrib/solaris/buildpkg.sh > line 13: > VERSION=`tail -1 ../../version.h | sed -e 's/.*_\([0-9]\)/\1/g' | sed 's/\"$//'` > needs to change to > line 13: > VERSION=`tail -2 ../../version.h | sed -e 's/.*_\([0-9]\)/\1/g' | sed 's/\"$//'` > > This fixes the pkgcreation problem on Solaris 8 This

i am configured asterisk-gui the "Queue Extension Configuration" but configure and register into queue.conf : [66666] fullname = Call Center strategy = ringall timeout = 5 wrapuptime = 5 autofill = yes autopause = no maxlen = 0 joinempty = no leavewhenempty = no reportholdtime = yes musicclass = default member => Agent/60010 member => Agent/60011 member => Agent/60014 but not

Ok I've a HP mircoserver that I'm building up. It's got 4 bays for be used for data that I'm considering setup up woth softwere raid (mdadm) I've 2 x 2TB 2 x 2.5 TB and 2 x 1TB, I'm leaning towards usig the 4 2.x TB is a raid 5 array to get 6TB. Now the data is on the 2.5TB disks currently. So the plan so far. Building the array as a degraded raid 5 with the 2 x 2TB

I use the ff-package for large data and have good success in session. To ensure my data is available for the next R session, I save my workspace and use the /ffsave/ command to archive my large data objects. Syntax is simple: > ffsave(file="~/path/archiveName", list="objectName") when I have multiple files to save, the list is expanded using c(). When I start a new R

Hi. I got a problem, perhaps someone can help me....... every time, when I want to plot data, both axis are labeled by default like data[1,] and data[2,] how can I make a plot without ANY labeling? does anyone know that? thanks for helping Michael [[alternative HTML version deleted]]

Just wondering if it's possible to have an item with no content at all. Here's what I was hoping to do, inside a larger function that acts on a 3-D array. I want to enter, as one of the arguments to the main function, the index over which I'm going to do some action. For example, if the action were to calc a sum, I'd specify a given axis and report the sums along that axis

https://bugzilla.mindrot.org/show_bug.cgi?id=2520 Bug ID: 2520 Summary: ssh-keygen: sanitize ANSI escape sequences in key comment Product: Portable OpenSSH Version: 7.1p1 Hardware: amd64 OS: Linux Status: NEW Severity: minor Priority: P5 Component: ssh-keygen

Hi guys, I am logging data about my body (weight, body fat, blood pressure, ..) in a .csv file and would like to plot this as a time series. I uploaded the (noisified) .csv, you can see the link in the code I have so far (you can run the code directly as-is): df.raw <- read.csv("http://www.chaotic-neutral.de/temp/stats-noised.csv", sep=";", dec=".")