search for: autoscall

Dear R users I need to auto scale the left y axis in the code below, so that when I scroll left or right the left y-axis scale changes to accumulate the range of the displayed data with in the max hight of the y-axis. also how can I make the crosshair horizontal since it is only vertical in this code. this code with a kind help from "Gregory (Greg) L. Snow Ph.D." just

Hello to all of you, What i try to do : i got data of the type (x,y) which i plot with plot (x,y). i want to actualise that plot adding new points (x,y) (i did it with points(x,y)): how can i adjust the scale of the axis x and y to see all the points in the window. Ex: i start with plot (1,0.5). If i do points(0.8,0.5) no problem, all my points are visible on the graph. But if i do points(2,2),

Using the small reproducible example below, I'd like to know if one can somehow use the matrix "sig" (defined below) to add a black outline (with lwd=2) to all pixels with a corresponding value of 1 in the matrix 'sig'? So for example, in the ggplot2 plot below, the pixel located at [1,3] would be outlined by a black square since the value at sig[1,3] == 1. This is my first

Hi Eric, you can use an annotate-layer, eg ind<-which(sig>0,arr.ind = T) ggplot(m1.melted, aes(x = Month, y = Site, fill = Concentration), autoscale = FALSE, zmin = -1 * zmax1, zmax = zmax1) + geom_tile() + coord_equal() + scale_fill_gradient2(low = "darkred", mid = "white", high = "darkblue",

I apprecaite the guidance Eik, that works great! I'm also wondering if you have any pointers for how I might stretch the color scale so that the max and min values are the same? Right now, the min is -0.064 and the max is something closer to 0.04. As you can see in what I sent, I tried adding: zmax1 = max(abs(m1)) ggplot(..., autoscale = FALSE, zmin = -1 * zmax1, zmax = zmax1) + ... to

hi, Excuse me asking three questions in a row for a day, but I had collected those questions as I'm still experimenting with R. This one is how do you compose plots with alot of data in one graph. First what I currently do is after i generated all the data I need to plot.. let say 5-6 arrays I do a plot() and then I created a function to scale the other data to approx fit the initial range so

Sure, if you never restart / autoscale anything and if your use case isn't bothered with up to 42 seconds of downtime, for us - 42 seconds is a really long time for something like a patient management system to refuse file attachments from being uploaded etc... We apply a strict patching policy for security and kernel updates, we often also load balance between underlying physical hosts and

We cordially invite you to participate online in the 15th Workshop on Virtualization in High?-Performance Cloud Computing (VHPC '20) Keynote: RedHat on Podman (a Docker alternative) for HPC Talks include: Google on Autopilot (Google internally used autoscaler) This year's focus is on: Orchestration (Kubernetes) Resource efficiency via auto-scaling (Autopilot / Google) Containers for HPC

Hi I want to use Sidekiq to run some jobs in the background. The jobs will be created by the whenever gem (or similar) which creates a Sidekiq worker at a specific time. This worker will in turn create a few hundred Sidekiq jobs. So, I''m using Heroku and wonder if I need to use a separate worker dyno for these jobs? Or can I use, for example, Unicorn to run Sidekiq "inside"

I just for the first time attempted to install Cacti from the RPMForge repo on CentOS 4.4. And I have to say that it hasn't gone very well at all. I have installed Cacti on Fedora a good 20 times with absolutely no problem. Basically the default rrds/graphs for localhost are generated but no other rrds/graphs are generated. When I look at the poller cache or snmp cache I see all the data.

Restarts will go through a shutdown process. As long as the network isn't actively unconfigured before the final kill, the tcp connection will be shutdown and there will be no wait. On 12/28/17 20:19, Sam McLeod wrote: > Sure, if you never restart / autoscale anything and if your use case > isn't bothered with up to 42 seconds of downtime, for us - 42 seconds > is a really

Hi, I know that "glusterbot" text about ping-timeout almost by heart by now ;-) I have searched the complete IRC logs and Mailing list from the last 4 or 5 years for anything related to ping-timeout. The problem with "can be a very expensive operation" is that this is extremely vague. It would be helpful to put some numbers behind it. Of course I also understand that any

I returned from Bogot? and have a Folder with 272 photos that total 419.9 MB. I would like to email them to several people who were there for the concerts I attended. I have Picasa, gThumb (not really an Editor but I believe it can reduce the quality of photos) and The GIMP installed. Is there a way I can have a photo editor reduce all of them to VGA size, without doing that 272 times? The people

The reason for the long (42 second) ping-timeout is because re-establishing fd's and locks can be a very expensive operation. With an average MTBF of 45000 hours for a server, even just a replica 2 would result in a 42 second MTTR every 2.6 years, or 6 nines of uptime. On December 27, 2017 3:17:01 AM PST, Omar Kohl <omar.kohl at iternity.com> wrote: >Hi, > >> If you set it

Hi All, We are wanting to having a Puppet Meetup in NYC on February 3th, 2009, 6:30 PM. Place to be determined. Baring that my wife doesn''t give birth by then (which would prevent me from making it) how does this sound to everyone else? Brian G., Can you rally up the troops and also invite people from other groups? Also let''s have some specific topics to discuss.

Hi, > If you set it to 10 seconds, and a node goes down, you'll see a 10 seconds freez in all I/O for the volume. Exactly! ONLY 10 seconds instead of the default 42 seconds :-) As I said before the problem with the 42 seconds is that a Windows Samba Client will disconnect (and therefore interrupt any read/write operation) after waiting for about 25 seconds. So 42 seconds is too high. In