search for: time5

Dear All,   #I have the following code   Dose<-1000 Tinf <-0.5 INTERVAL <-8 TIME8 <-matrix(c((0*INTERVAL):(1*INTERVAL))) TIME7 <-matrix(c((0*INTERVAL):(2*INTERVAL))) TIME6 <-matrix(c((0*INTERVAL):(3*INTERVAL))) TIME5 <-matrix(c((0*INTERVAL):(4*INTERVAL))) TIME4 <-matrix(c((0*INTERVAL):(5*INTERVAL))) TIME3 <-matrix(c((0*INTERVAL):(6*INTERVAL))) TIME2 <-matrix(c((0*INTERVAL):(7*INTERVAL))) TIME1 <-matrix(c((0*INTERVAL):(8*INTERVAL))) CDURINF1 <-((Dose/Tinf)*(1/(0.088*76.9)))*(1-exp(-0.088*TIME1)...

...fferent mind-set behind their experiments than, say, an ecologist, who is interested in the effects of time per se, and not just the effects of a treatment. For example, here's my dataset, say, looking at plant height in cm with and without fertilizer Treatment, Time1, Time2, Time3, Time4, Time5 Fertilizer, 1, 4, 8, 10, 12 Control,1,2,3,4,5 Fertilizer,1,8,10,12,20 Control,1,3,5,6,6 Fertilizer,2,5,10,20,25 Control,1,2,4,4,4 Clearly there is a time*treatment interaction (just eyeballing the dataset) My question is, how does one set this up using the anova.mlm approach so that in the end...

...coral deadcoral sand rubble ..... S1 time1 trans1 10 15 10 4 S1 time1 trans2 5 4 10 6 S1 time1 trans3 10 2 5 7 . . . S5 time5 trans5 6 3 1 6 I used aggregate to get the means of the individual variables (coral, dead coral, etc.) using the site and time as grouping factors. aggregate.plot(deadcoral, by=list(SITE=site, TIME=time), FUN=c("mean"), error=c("sd...

...subject-by-subject basis, (2) not all lines are drawn. I hope someone can help me fix my code Thanks, John # Create a matrix to hold our data. mydata <- matrix(nrow=10,ncol=10) dimnames(mydata) <- list(NULL,c("time1", "time2", "time3", "time4", "time5", "clot1", "clot2", "clot3", "clot4", "clot5")) # load data into the matrix. # The first five columns represent time of measurement # Columns 6-10 have the measured values. mydata[1,]=c( 1, 3, NA,NA, NA, 22, 40,...

...e2 Substance3 Substance4 Substance5 1 Time1 10 0 0 0 0 2 Time2 9 5 0 0 0 3 Time3 8 10 1 0 0 4 Time4 7 20 2 1 0 5 Time5 6 25 3 2 1 6 Time6 5 30 4 2 2 7 Time7 4 25 5 3 3 8 Time8 3 20 6 3 4 9 Time9 2 15 5...

...i, 2006), something along the lines of: aov(outcome ~ group * time + baseline + Error(subj+subj:time)) (from: http://cran.r-project.org/doc/contrib/Baron-rpsych.pdf, p. 41) C. "Repeated measures" MANOVA as follows (using data in wide format): response <- cbind(time1,time2,time3,time4,time5,time6) mlmfit <- lm(response ~ group) mlmfit1 <- lm(response ~ 1) mlmfit0 <- lm(response ~ 0) # Test time*group effect anova.mlm(mlmfit, mlmfit1, X=~1, test="Spherical") # Test overall group effect anova.mlm(mlmfit, mlmfit1, M=~1) # Test overall time effect anova.mlm(mlmfit1, mlm...

In the past 24 hours multiple persons have contacted me regarding the use of elliptic curve cryptography in tinc 1.1 in light of the suspicion that the NSA might have weakened algorithms and/or elliptic curves published by NIST. The new protocol in tinc 1.1 (SPTPS) uses ECDH and ECDSA to do session key exchange and authentication, in such a way that it has the perfect forward secrecy (PFS)

In the past 24 hours multiple persons have contacted me regarding the use of elliptic curve cryptography in tinc 1.1 in light of the suspicion that the NSA might have weakened algorithms and/or elliptic curves published by NIST. The new protocol in tinc 1.1 (SPTPS) uses ECDH and ECDSA to do session key exchange and authentication, in such a way that it has the perfect forward secrecy (PFS)

...ained.pl", "baby.no", "weight", "apgar1", "apgar5", "scbu", "ph.ven", "be.ven", "dilat1", "time2", "dilat2", "time3", "dilat3", "time4", "dilat4", "time5", "dilat5", "time6", "dilat6", "time7", "dilat7", "srom.time", "srom.dilat", "epi.time", "epi.dilat"))) ************************************************************************ Under NT 4.0, using Ve...

Hi, using SLES10 I''m unable to synchronize the time of DomU with that of Dom0. There is a persistent offset of about 3 seconds! Here''s a small history (not actual output): remote refid st t when poll reach delay offset jitter rkdvmso1.dvm.kl 192.168.0.11 5 u - 64 1 0.136 -2977.1 0.099 *rkdvmso1.dvm.kl 192.168.0.11 5 u 2 64