search for: markussen

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2006 Oct 17
2
Calculate NAs from known data: how to?
...e given a probability for example "55 cm = 4 years has a p=75%, while 55 cm = 4 years has a p=25%". Those "p-values" should be calculated from the real data. How can this be done in R, and what is the right way to do it? Sample number 1 is given below. Best regards Torleif Markussen Lunde length age sampleno 55 5 1 45 4 1 55 4 1 55 5 1 60 6 1 45 5 1 52 5 1 48 4 1 51 6 1 53 4 1 54 5 1 48 5 1 50 6 1 55 6 1 55 4 1 50 5 1 49 5 1 40 4 1 50 6 1 36 4 1 46 6 1 35 3 1 41 3 1 44 5 1 36 3 1 29 2 1 28 2 1 32 2 1 31 2 1 30 2 1 29 2 1 32 2 1 28 2 1 25 2 1 27 2 1 27 2 1 24 2 1 27 2 1 24 2 1...
2009 Dec 08
0
Difference in S.E. gee/yags and geeglm(/geese)
...$robust.variance)) #(Intercept) tensionM tensionH # 5.77 7.46 3.73 # geeglm: sqrt(diag(mm2$geese$vbeta)) # [1] 8.17 10.56 5.28 # yags: sqrt(diag(slot(mm3, "robust.parmvar"))) # [1] 5.77 7.46 3.73 Any explanation of this behavior is welcome. Best wishes Torleif Markussen Lunde PhD candidate Centre for International Health/ Bjerkens Centre for Climate Research University of Bergen Norway