Dear Petr,
I tried replying directly to you but my communication was rejected as spam. On second thought, it is possible that it is. Thank you very much for taking the time and interest to answer my enquiry to the R Help Group. My interest isnt so much in the particular data set as in how to conduct such an analysis in R. The URL of the article where Bates was a coauthor which describes the technique is <http://jds.fass.org/cgi/content/abstract/75/2/580> http://jds.fass.org/cgi/content/abstract/75/2/580 I enclose the IV Rabbit weight (age (a) in days, weight (w) in grams) data set from Koops 1986:171 (citation given in the original communication). a w 0 35 10 103 20 181 30 300 40 395 40 479 60 561 70 641 80 720 90 810 100 892 110 958 120 1013 130 1072 140 1118 150 1168 160 1195 170 1208 The published results are (Koops 1986:173) Table 2: Constant estimates for the multiphasic growth curve Data set a1 b1 c1 a1 b2 c2 a3 b3 c3 Rabbit 198 .048 24.8 352 .025 82.7 62 .051 140.2 Constants ai is in grams and ci in days. Constants bi in 1/(age-units). Table 3. Information about the fit in a stepwise procedure Data set number of error residual R-square Durbin-Watson phases(n) df variance statistic Rabbit 1 15 1268 .9928 .35 2 12 97 .9996 1.39 3 9 40 .9999 2.78 4 6 47 .9999 3.19 My question is if it is possible to effect a multiphasic analysis in R and if so how? Thank you very much, Peter B. Laboratorio de Informática, Facultad de Medicina, UASLP, SLP, SLP, MEX Departamento de Epidemiología Clínica, Facultad de Medicina, UASLP, SLP, SLP, MEX Peter B. Mandeville cel: 444 860 3204 tel: 52 444 826 2346-49 ext 532 fax: 52 444 826 2350 P.D. Favor de confirmar la llegada de este correo. Gracias. [[alternative HTML version deleted]]
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