search for: obs3

...1 11/02/2000 5 n 2 1 15/02/2000 6 n 2 1 23/02/2000 I want to select the observations whose difference of "var4" is less than 7 for the cases with the same values of var1,var2 andvar3. The obervations have the same var1, var2 and var3 are, part1 (obs2 and obs3) and part2 (obs4,obs5, and obs6). For obs2 and obs3, their date difference is less than 7, so we donot need to delete any of them. For obs4,obs5, and obs6,we can see that obs6 should be deleted becuase its date is over 7 dyas longer than obs4. So the final dataset should obs1,obs2,obs3,obs4,...

...t;, "ouest", "ouest", "ouest", "ouest")) obs2<-data.frame(quanti,quali) obs2 xr<-sort(obs2[,1]) ci<-obs2[,2] cr<-ci[order(obs2[,1])] n<-length(obs2[,1]) if(n%%2==0) {rAB<-c(1:(n/2),(n/2):1)} else{rAB<-c(1:((n-1)/2), (n+1)/2, ((n-1)/2):1)} obs3<-data.frame(rAB,xr,cr) ties<-as.numeric(names(which((table(obs2[,1])>1)==TRUE))) # extrait les xi r?p?t?s obs4<-obs3 for(i in ties){obs4$rAB[(which(obs3$xr==i))]<-mean(obs3$rAB[(which(obs3$xr==i))])} obs4 classe1<- split(obs2[,1], obs2[,2])$sud classe2<- split(obs2[,1], obs2[,...

hi, all I inherited a data set with format like the following: para.A para.B para.C observation.1 observation.2 observation.3 .... Essentially, the same experiment (with same parameters) are conducted 3 times, with corresponding observations. What are the efficient ways of re-arranging this data set in a one row per observation such that: para.A para.B para.C observation.1 para.A

...to conduct the above manipulation. Keep them. #And also keep all the other observations whose donot have the same x and y values. #So the final result should be x y date prior var5 1 1.1 2 2008-12-01 A 1 5 1.3 1.8 2007-05-06 C 5 2 1.3 1.8 2007-05-20 N 2 #obs1 and obs3 have same x and y; Their date difference is 5, so we will select the earlist obs1 But we notice that its prior value is N, while another is A, so we also need to replace N using A. #obs2,obs4 and obs5 have same x and y; Obs4 and obs5 has a date difference 4<=8days, so earlies obs 5 will be selec...

Full_Name: Martha Nason Version: 2.0.1 OS: Windows XP Submission from: (NULL) (137.187.154.154) I am running simulations using fisher's test on 2 x c tables and a very small p.value from fisher's test (<2.2e-16) is returned as a negative number. Code follows. > set.seed(0) > nreps.outer <-7 > pvalue.fisher <- rep(NA,nreps.outer) > > population1 <- c(

....H.NVGA NVHA A 0570: 4d 44 41 20 44 49 44 36 20 44 49 44 37 20 44 49 MDA DID6 DID7 DI 0580: 44 38 20 45 42 41 53 20 43 50 53 50 20 45 45 43 D8 EBAS CPSP EEC 0590: 50 20 45 56 43 50 20 58 42 41 53 20 4f 42 53 31 P EVCP XBAS OBS1 05a0: 20 4f 42 53 32 20 4f 42 53 33 20 4f 42 53 34 20 OBS2 OBS3 OBS4 05b0: 4f 42 53 35 20 4f 42 53 36 20 4f 42 53 37 20 4f OBS5 OBS6 OBS7 O 05c0: 42 53 38 20 00 48 05 41 54 4d 43 08 50 54 4d 43 BS8 .H.ATMC.PTMC 05d0: 08 41 54 52 41 08 50 54 52 41 08 50 4e 48 4d 20 .ATRA.PTRA.PNHM 05e0: 54 42 41 42 20 54 42 41 48 20 52 54 49 50 08 54 TBAB TBAH RTIP...