search for: qa2

...t$V3[c(3)])) n2<-c(n2,-1/(RH2[c(46)]*1.60217e-19)) PA2<-c(1.1331/100e-6*.32e-4*(test$V1[c(2)]+test$V1[c(4)]-test $V1[c(1)]-test$V1[c(3)])) PB2<-c(1.1331/100e-6*.32e-4*(test$V1[c(6)]+test$V1[c(8)]-test $V1[c(5)]-test$V1[c(7)])) P2<-c(P2,(PA2+PB2)/2) bew2<-c(bew2,-RH2[c(46)]/P2[c(46)]) QA2<-c(QA2,(test$V1[c(2)]-test$V1[c(1)])/(test$V1[c(4)]-test$V1[c(3)])) QB2<-c(QB2,(test$V1[c(6)]-test$V1[c(5)])/(test$V1[c(8)]-test$V1[c(7)])) #....... Temp<-c(79,80,85,90,95,100,106,110,115,120,125,132,135,140,145,151,156,160,165,170,175,180,185,190,195,200,206,210,216,220,225,230,235,240,...

...e the user while still using the -a flag with rsync. max connections = 25 timeout = 600 secrets file = /etc/rsyncd.secrets lock file = /var/tmp/rsyncd.lock list = yes [release] comment = Release node for prod path = /unique/apps/par read only = no hosts allow = qa1 qa2 auth users = bholstei uid = feprod gid = pardev I'm trying rsync --rsync-path=/usr/local/bin/rsync -a /tmp/foo prod1::release/foo2 I'm transferring the file as uid=bholstei gid=op_sysad and what I get is a file that looks like -rw-r--r-- 1 feprod op_sysad...

...approach it. Let's say we have 5 samples (different size) of IC circuits coming from 5 production lines (A, B, C, D, E). We apply two different non-destructive QA procedures to each sample, producing to sets of binary outcomes (passed: no/yes). So, we have two groups of proportions: QA1 QA2 no/yes no/yes A 10/90 8/92 B 5/15 7/13 C 1/79 2/78 D 12/38 10/40 E 3/7 1/9 How would I test if the two QA procedures in question give significantly different results, at the same time controlling for the possible production line contribution? It looks like there are many variants of multiple...