search for: 42781

...;lme prediction intervals") produced 3 hits including 2 from James A Rogers over 3 years ago. In one, he said, "I am not aware of any published R function that gives you prediction intervals or tolerance intervals for lme models." (http://finzi.psych.upenn.edu/R/Rhelp02a/archive/42781.html) In the other, he provided sample code for prediction or tolerance intervals of lme variance components. (http://finzi.psych.upenn.edu/R/Rhelp02a/archive/44675.html)

Hi, Can someone please offer a procedure for going from CIs produced by intervals.lme() to fixed-effects response CIs. Here's a simple example: library(mlmRev) library(nlme) hsb.lme <- lme(mAch ~ minrty * sector, random = ~ 1 | cses, Hsb82) (intervals(hsb.lme)) (hsb.new <- data.frame minrty = rep(c('No', 'Yes'), 2), sector = rep(c('Public',

...epth=32 --size=256MB --readwrite=randwrite test: (g=0): rw=randwrite, bs=(R) 2048B-2048B, (W) 2048B-2048B, (T) 2048B-2048B, ioengine=libaio, iodepth=32 fio-3.1 Starting 1 process Jobs: 1 (f=1): [w(1)][100.0%][r=0KiB/s,w=8624KiB/s][r=0,w=4312 IOPS][eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=42781: Tue Mar 20 15:05:57 2018 write: IOPS=4439, BW=8880KiB/s (9093kB/s)(256MiB/29522msec) bw ( KiB/s): min= 6908, max= 9564, per=99.94%, avg=8874.03, stdev=428.92, samples=59 iops : min= 3454, max= 4782, avg=4437.00, stdev=214.44, samples=59 cpu : usr=2.43%, sys=18.18%, ctx=2...

On Tue, Mar 20, 2018 at 8:57 AM, Sam McLeod <mailinglists at smcleod.net> wrote: > Hi Raghavendra, > > > On 20 Mar 2018, at 1:55 pm, Raghavendra Gowdappa <rgowdapp at redhat.com> > wrote: > > Aggregating large number of small writes by write-behind into large writes > has been merged on master: > https://github.com/gluster/glusterfs/issues/364 > >