Lac and Lacfac are the same. On 8/21/07, Alan Harrison <[EMAIL PROTECTED]> wrote: > Hello Folks, > > Very new to R so bear with me, running 5.2 on XP. Trying to do a > zero-inflated negative binomial regression on placental scar data as > dependent. Lactation, location, number of tick larvae present and mass of > mouse are independents. Dataframe and attributes below: > > > Location Lac Scars Lar Mass Lacfac > 1 Tullychurry 0 0 15 13.87 0 > 2 Somerset 0 0 0 15.60 0 > 3 Tollymore 0 0 3 16.43 0 > 4 Tollymore 0 0 0 16.55 0 > 5 Caledon 0 0 0 17.47 0 > 6 Hillsborough 1 5 0 18.18 1 > 7 Caledon 0 0 1 19.06 0 > 8 Portglenone 0 4 0 19.10 0 > 9 Portglenone 0 5 0 19.13 0 > 10 Tollymore 0 5 3 19.50 0 > 11 Hillsborough 1 5 0 19.58 1 > 12 Portglenone 0 4 0 19.76 0 > 13 Caledon 0 8 0 19.97 0 > 14 Hillsborough 1 4 0 20.02 1 > 15 Tullychurry 0 3 3 20.13 0 > 16 Hillsborough 1 5 0 20.18 1 > 17 LoughNavar 1 5 0 20.20 1 > 18 Tollymore 0 0 1 20.24 0 > 19 Hillsborough 1 5 0 20.48 1 > 20 Caledon 0 4 1 20.56 0 > 21 Caledon 0 3 2 20.58 0 > 22 Tollymore 0 4 3 20.58 0 > 23 Tollymore 0 0 2 20.88 0 > 24 Hillsborough 1 0 0 21.01 1 > 25 Portglenone 0 5 0 21.08 0 > 26 Tullychurry 0 2 5 21.28 0 > 27 Ballysallagh 1 4 0 21.59 1 > 28 Caledon 0 0 1 21.68 0 > 29 Hillsborough 1 5 0 22.09 1 > 30 Tullychurry 0 5 5 22.28 0 > 31 Tullychurry 1 6 75 22.43 1 > 32 Ballysallagh 1 5 0 22.57 1 > 33 Ballysallagh 1 4 0 22.67 1 > 34 LoughNavar 1 5 3 22.71 1 > 35 Hillsborough 1 4 0 23.01 1 > 36 Caledon 0 0 3 23.08 0 > 37 LoughNavar 1 5 0 23.53 1 > 38 Ballysallagh 1 4 0 23.55 1 > 39 Portglenone 1 6 0 23.61 1 > 40 Mt.Stewart 0 3 0 23.70 0 > 41 Somerset 0 5 0 23.83 0 > 42 Ballysallagh 1 5 0 23.93 1 > 43 Ballysallagh 1 5 0 24.01 1 > 44 Caledon 0 0 3 24.14 0 > 45 LoughNavar 0 6 0 24.30 0 > 46 LoughNavar 1 5 0 24.34 1 > 47 Hillsborough 1 4 0 24.45 1 > 48 Caledon 0 3 2 24.55 0 > 49 Tullychurry 0 5 44 24.83 0 > 50 Hillsborough 1 5 0 24.86 1 > 51 Ballysallagh 1 5 0 25.02 1 > 52 Tullychurry 0 0 9 25.27 0 > 53 Mt.Stewart 0 5 0 25.31 0 > 54 LoughNavar 1 4 8 25.43 1 > 55 Somerset 1 0 0 25.58 1 > 56 Hillsborough 1 5 0 25.82 1 > 57 Portglenone 1 2 0 26.02 1 > 58 Ballysallagh 1 5 0 26.19 1 > 59 Mt.Stewart 1 0 0 26.66 1 > 60 Randalstown 1 0 1 26.70 1 > 61 Somerset 0 4 0 27.01 0 > 62 Mt.Stewart 0 4 0 27.05 0 > 63 Somerset 0 3 0 27.10 0 > 64 Somerset 0 6 0 27.34 0 > 65 Somerset 0 0 0 27.87 0 > 66 LoughNavar 1 5 1 28.01 1 > 67 Tullychurry 1 6 42 28.55 1 > 68 Hillsborough 1 5 0 28.84 1 > 69 Portglenone 1 4 0 29.00 1 > 70 Somerset 1 4 0 31.87 1 > 71 Ballysallagh 1 5 0 33.06 1 > 72 LoughNavar 1 4 0 33.24 1 > 73 Somerset 1 4 0 33.36 1 > > alan : 'data.frame': 73 obs. of 6 variables: > $ Location: Factor w/ 10 levels "Ballysallagh",..: 10 8 9 9 2 3 2 6 6 9 ... > $ Lac : int 0 0 0 0 0 1 0 0 0 0 ... > $ Scars : int 0 0 0 0 0 5 0 4 5 5 ... > $ Lar : int 15 0 3 0 0 0 1 0 0 3 ... > $ Mass : num 13.9 15.6 16.4 16.6 17.5 ... > $ Lacfac : Factor w/ 2 levels "0","1": 1 1 1 1 1 2 1 1 1 1 ... > > The syntax I used to create the model is: > > zinb.zc <- zicounts(resp=Scars~.,x =~Location + Lar + Mass + Lar:Mass + > Location:Mass,z =~Location + Lar + Mass + Lar:Mass + Location:Mass, data=alan) > > The error given is: > > Error in optim(par = parm, fn = neg.like, gr = neg.grad, hessian = TRUE, : > non-finite value supplied by optim > In addition: Warning message: > fitted probabilities numerically 0 or 1 occurred in: glm.fit(zz, 1 - pmin(y, > 1), family = binomial()) > > I understand this is a problem with the model I specified, could anyone help > out?? > > Many thanks > > Alan Harrison > > Quercus > Queen's University Belfast > MBC, 97 Lisburn Road > Belfast > > BT9 7BL > > T: 02890 972219 > M: 07798615682 > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
