search for: birthplace

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...p;", author$lname, value=TRUE) [1] "Fr&egrave;re de Montizon" "Lumi&egrave;re" [3] "Lumi&egrave;re" "Ni&eacute;pce" [5] "S&uuml;ssmilch" "Sch&uuml;pbach" > grep("&", author$birthplace, value=TRUE) [1] "Marbach, W&uuml;rttemberg" [2] "C&ocirc;te-d&#039;Or" [3] "Chalon-sur-Sa&ocirc;ne, Sa&ocirc;ne-et-Loire" [4] "Gro&szlig; S&auml;rchen, Germany" > apropos("HTML") thx, -Michael -- Michael Friendly...

Hi A.K Regarding my question on comparing normal/ obese/overweight with blood pressure change, I did finally as per the first suggestion of stacking the data and creating a normal category . This only gives me a obese not obese 14, but when I did with the wide format hoping to get a obese14,normal14,overweight 14 Vs hibp 21, i could not complete any of the models. This time I classified obese=1

Hi, Sorry, but how did you bring it out? Thanks On Fri, Dec 28, 2012 at 8:48 AM, arun kirshna [via R] < ml-node+s789695n4654093h10@n4.nabble.com> wrote: > Hi, > bp.sub<- structure(list(CODEA = c(1L, 3L, 4L, 7L, 8L, 9L, 10L, 11L, 12L, > 13L, 14L, 16L, 17L), C45 = c(NA, 2L, 2L, 2L, 2L, 1L, NA, 1L, > 1L, 2L, 1L, 2L, 1L), ragek = c(3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, > 3L, 3L,

...roximately 60 graduate students of whom 19 are PhD students. It also has a substantial service role, has over 900 equivalent full-time students in total, and is expanding. The Department covers a wide range of areas of statistics but with particular strengths in statistical computing (it is the birthplace of R), statistical ecology, and biostatistics. It has strong Bayesian and applied probability groups. It is an outward looking Department with strong collaborative links with many other Departments and Research Institutes. It is a partner in NZIMA, one of the first four Centres of Research Ex...