search for: lactat

Hi, I need help writing a function I capture seal pups mutliple times during the lactation season in order to monitor their growth rate. When I release them, the recovery (mother-pup) time is not the same for all individuals. I want to know if individuals that recover their mother the fastest are the ones with the highest growth rates. So, I noted at every release if the...

...mmendations would be greatly appreciated. Peter B. Douglas M. Bates and Donald G. Watts. 2007. Nonlinear Regression Analysis and Its Applications. Wiley Series in Probability and Statistics. John Wiley & Sons, Inc., New York, NY, USA. M. Grossman and W.J. Koops. 2003. Modeling Extended Lactation Curves of Dairy Cattle: A Biological Basis for the Multiphasic Approach. J. Dairy Sci. 86:988-998. W. J. Koops. 1986. Multiphasic Growth Curve Analysis. Growth 50:169-177. Jose C. Pinheiro and Douglas M. Bates 2000. Mixed-Effects Models in S and S-Plus. Statistics and Computing. Springer-Ver...

Hello, I am trying to fit a nonlinear model of the form of: A*x^b*exp(-c*x) This represents a lactation curve. I have a bunch of cows, so I want COW to be a random effect. I have been trying the following code with very littel success: > fm1 <- nlme(yield ~ A*(DIM^B)*(exp(-C*DIM)), + data = group, + fixed = A + B + C ~ 1, + start = c(A = 20, B = 0.3,...

Do you send information about lactation curve analyse with no linear mixed model, with fixed effects (herd, year season, parity) and random effects (cow)?. Than you very much Mario Fernando [[alternative HTML version deleted]]

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 Tolly...

Hi all, I'm a PhD student at sydney uni and am trying to run a non linear mixed model program to obtain estimates of parameters describing dairy cow lactation curves. At present, I have been able to get the data to converge using the S plus (S plus 2000) nlme function. However, when I put the same data into R (R 1.9.0), add in the nlme package and run the code, it does not converge by the max 50 iterations. Is this because the nlme function is slight...

...data are considered as same!!! #---------------------------------------------------------------------------------- ## training NNET Nnet <- nnet(x=data, y=class.ind(dat$trt_window), size=2,rang=0.05,skip=T, decay=0.000001, maxit=500)# ## validation for each lactation pred <- predict(Nnet, newdata=y, type = "raw") #----------------------------------------------------------------------------------- Your help is very much appreciated, Thanks for your time advance. [[alternative HTML version deleted]]

Mª Luz, si el comando de Carlos te devuelve 0 es que no hay NA's. Da igual que tus columnas sean caracteres o número. Lo que intuyo es que tienes celdas con la frase "NA" que interpretas como NA. Mandanos el summary de tu data.table y lo vemos... ----- Mensaje original ----- De: "MªLuz Morales" <mlzmrls en gmail.com> Para: "Carlos J. Gil Bellosta"

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")