search for: obtrain

I am trying to do something in R and would appreciate a push into the right direction. I hope some of you experts can help. I have two distributions obtrained from 10000 datapoints each (about 10000 datapoints each, non-normal with multi-model shape (when eye-balling densities) but other then that I know little about its distribution). When plotting the two distributions together I can see that the two densities are alike with a certain distance to eac...

...ary and then evaluate the string returned. For example, to monitor our registered SIP service providers, we compare the output for the sip show registry CLI command when the system is in the correct state, to the output we get on timed checks every five minutes. If a SIP trunk goes down, the just-obtrained string does not match the stored, correct string anymore, and our app starts sending SMSes / raising alarms. Been running for about three years now and works suffieciently for our widely separated branches all over South Africa.

....802, 1.862, 1.173, 1.762, 1.935, 2.072, 1.703, 1.935, 1.610, 1.568, 1.267, 1.522, 1.816, 1.935, 1.418, 1.594) xtabs(y ~ rows + blocks) # tabulate by row and column # One of my attempts using lm() from the stats package: m1 = lm( y ~ trt + blocks + rows) Mandel obtrain the following adjusted means mandel = c(1.728, 1.817, 1,588, 1.785, 1.512, 1. 678, 1.720, 1.658) Can anyone shed light on how to obtain in R the correct treatment means, adjusted for both row and column effects (blocks) in these designs? Cordially, Giles Crane gilescrane at ver...