search for: avg1

...(AVG) 3 2 D (AVG) Where (AVG) is the average of the 10 trials. The above is a simplified case. How can I do this with multiple RT measurements per subject? In other words, the above, but with more than one RT column per subject. Resulting in: Subj List Condition RT1 RT2 RT3 RT4 RT5 2 1 C (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) 3 2 C (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) 2 1 D (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) 3 2 D (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) I've come across the apply and aggregate functions in online documentation, and I have the suspicion that they may be called for here, but...

Sorry to keep posting but I want to do this right and I'm hoping for some pointers I now have two time series objects which I need to subtract. Unfortunatly the two series dont have the same sample rates. When I try to subtract them avgSub<-avg1-avg2 The time series object is clever enough to object. So I guess I need to write a function for subtraction of the time series objects which will need to interpolate the samples to the same sampling time (this linear interpolation should be ok here) I would like to make this function the default...

Op 29-01-15 om 00:00 schreef Gordon Messmer: > On 01/28/2015 12:12 PM, Patrick Bervoets wrote: >> >> ARPING 192.168.1.15 from 0.0.0.0 br0 >> Unicast reply from 192.168.1.15 [AC:16:2D:72:67:D4] 0.723ms >> Sent 1 probes (1 broadcast(s)) >> Received 1 response(s) >> >> Thanks anyway > > I'm not sure what you mean by "thanks anyway".

...14% | irq 0% | idle 70% | cpu006 w 0% | cpu | sys 4% | user 15% | irq 0% | idle 66% | cpu005 w 0% | cpu | sys 2% | user 11% | irq 0% | idle 77% | cpu007 w 0% | cpu | sys 5% | user 11% | irq 0% | idle 73% | cpu004 w 0% | CPL | avg1 1.92 | avg5 1.97 | avg15 1.61 | csw 229508 | intr 191786 | MEM | tot 47.1G | free 15.9G | cache 519.3M | buff 109.3M | slab 353.3M | SWP | tot 7.8G | free 7.3G | | vmcom 31.8G | vmlim 31.3G | LVM | g_15k-lv_15k | busy 0% | read 1 | write 98 | a...

Hi, I have a program that writes lots of files to a directory tree (around 15 Million fo files), and a node can have up to 400000 files (and I don't have any way to split this ammount in smaller ones). As the number of files grows, my application gets slower and slower (the app is works something like a cache for another app and I can't redesign the way it distributes files into disk due