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...mean SE y 45.796 5.5483 svytotal(~y, dmulti3) total SE y 78999 13643 and I estimate the population total as N=M/m sum(Nl) = 23/3*(100+50+75)=1725. With this, my variance estimator is: y1<-mean(multi3$y[1:4]) # 39.5 y2<-mean(multi3$y[5:7]) # 45.33 y3<-mean(multi3$y[8:9]) # 54.5 yT1<-100*y1 # 3950 total cluster 1 yT2<-50*y2 # 2266.67 total cluster 2 yT3<-75*y3 # 4087.5 total cluster 3 ybarT<-1/3*sum(yT1,yT2,yT3) # 3434.722 s1 <- var(multi3$y[1:4]) # 643.67 var cluster 1 s2 <- var(multi3$y[5:7]) # 632.33 var cluster 2 s3 <- var(multi3$y[8:9]) # 612.5 var cl...

Hi All , Could you please tell using which library ,Dickey-Fuller Test can be run? Thanks a lot __________________________________________________ [[alternative HTML version deleted]]

Hi, I am using oggz-chop in the ubuntu jaunty, am I doing something wrong? $ oggz-chop -o yt1.ogv -s0 -e500 ondrej.ogv Segmentation fault gdb session doesn't reveal much, since it isn't compiled with debugging symbols: (gdb) bt #0 0x00007f9e5d2f0092 in memcpy () from /lib/libc.so.6 #1 0x0000000000403698 in ?? () #2 0x000000000040262e in ?? () #3 0x000000000040285d in ?? () #4...

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which display pulses, trends, or level shifts. >df DATE ID VALUE2012-03-06 1

Hello,   Could someone help me please and to tell how to get the probability from empirical DENSITY (not parametric) for each data value (R function). For example, for normal distribution there is such a function like:   “dnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)”   I need the same function only for the empirical DENSITY function (which does not correspond to any typical