similar to: [OFF] Dataset for extra Crawley Chapter

Hi, I''m trying to understand the lme output and procedure. I''m using the Crawley''s book. I''m try to analyse the rats example take from Sokal and Rohlf (1995). I make a nested analysis using aov following the book. > summary(rats) Glycogen Treatment Rat Liver Min. :125.0 Min. :1 Min. :1.0 Min. :1 1st Qu.:135.8

Hi, I try to run the example of Crawley's Book on the page 661, but it fail, look > repmeasures <- read.table("../Packages/Crawley/data/repmeasures.txt",header=T) > attach(repmeasures) > rep <- as.factor(rep) > library(nlme) > model <- lme(height~seed,random=~time|rep/seed) Erro em lme.formula(height ~ seed, random = ~time | rep/seed) : iteration limit

Is possible to integrate this diferential equation: dN/dt = Nr(1-(N/K)) in R using the integrate() function? Or any other diferential equation? If yes, how? If no, anybody know any software on linux that make this? Inte Ronaldo -- O problema de ter os dois p??s bem firmes no ch??o ?? que voc?? n??o vai conseguir tirar as cal??as. --An??nimo -- |> // | \\

Hi, I make an analysis and depending of the order of the variables, the significance change, look. m1 <- glm((infec/ntot)~idade+sexo+peso,family=binomial,weights=ntot) > anova(m1,test="F") Analysis of Deviance Table Model: binomial, link: logit Response: (infec/ntot) Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev F Pr(>F)

Hi, I have these vectors: > WEEK <- rep(c(1:52),2) > YEAR <- rep(c(2000,1999),c(52,52)) How to make a vector of Date with weeks in years? I try as.date from survival package, but it dont work with weeks, just only with days, months etcs. Thanks Ronaldo -- "Realmente minha cidade e muito facultativa" --Elivelton, ao rep?rter da Jovem Pan que falava das muitas

Hi, I try to make a vector in a for for loop, but it dont work. Look: > a <- 0;for(i in c(1:2)) { for(j in c(1:2)) { a <- i+j; print(a)}} [1] 2 [1] 3 [1] 3 [1] 4 I try to make this a vector, like this: [1] 2 3 3 4 > a <- 0;for(i in c(1:2)) { for(j in c(1:2)) { a[j] <- i+j}}; print(a) [1] 3 4 > a <- 0;for(i in c(1:2)) { for(j in c(1:2)) { a[i] <- i+j}}; print(a) [1]

Hi, I have a new (for me) situation. I have a function for one linear model: y = 9.7909-0.035*x I have the variance of system var = 13.01403 Is possible to create a random vector points of Y (simulating the real data) over this curve using the function and the variance? I need this to a discipline. I have this: | \ | \ -> y = 9.7909-0.035*x and var = 13.014 | \ | \ | \ | \

Hi, I have the follow function: function() { ## Init of function ... for(i in test) { ... while(j <= test2) { ... } } } The problem is that sometimes, naturally, the while is not possible to be resolved, and so the program abort. In this case I need that program return to the init of function and run again. How I can make this? Abort the while, abort the for

Hi, I have some data that have this behaviour: | |******* | * | * | * | * |---------------- What is the best and simpler way to fit this in R? Thanks Ronaldo -- Ela pilotava um Continenal 2001 com igni????o autom??tica Magiclic... -- |> // | \\ [***********************************] | ( ?? ?? ) [Ronaldo Reis J??nior ] |>

Hi, exist in R or any other program for linux that estimate the best fit for data using severals functions? Somethink like tablecurve Thanks Ronaldo -- Um menino-prodigio e uma crianca cujos pais tem muita imaginacao. -- Jean Costeau -- |> // | \\ [***********************************] | ( ?? ?? ) [Ronaldo Reis J??nior ] |> V [UFV/DBA-Entomologia

Hi, exist in R any glmm function that have any tools for test for overall goodness of fit? Thanks Ronaldo -- O papel da impressora ? sempre mais forte na parte picotada. -- | // | \\ [***********************************] |> ( ? ? ) [Ronaldo Reis J?nior ] | V [UFV/DBA-Entomologia ] |> / \ [36571-000 Vi?osa - MG ] |

Hi, I make an analysis sequence on R. In some cases the function glm.nb fail to ajust the model. Its Ok. The problem is that this error stop the program. I need treat this error and not stop the program. Something like this: ... model <- glm.nb(y~x,maxit=1000) if(glm.nb fail) { teste[i] <- 0 } else { teste[i] <- anova(modelo)$"P(>|Chi|)"[2] } ... I try this: ...

Hi all, I try to test a linear slope using offset. I have: > m2 <- glm(Y~X*V) > summary(m2) Call: glm(formula = Y ~ X * V) Deviance Residuals: Min 1Q Median 3Q Max -2.01688 -0.56028 0.05224 0.53213 3.60216 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.3673 0.8476 1.613 0.119788 X

Hi, I'm try to use the SJava package. The install is OK. In R I have this error message: -------------------------- > library(SJava) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "/opt/lib/R/site-library/SJava/libs/SJava.so": libRSNativeJava.so: cannot open shared object file: No such file or directory Error in

Hi, I have this: lme(y~x1+x2,random=~1|x1/x2) How to make this random effect using lmer? I try this: lmer(y~x1+x2+(1|x1/x2) But it dont work. Any idea? Thanks Ronaldo -- System halted! -- |> // | \\ [***********************************] | ( ?? ?? ) [Ronaldo Reis J??nior ] |> V [UFV/DBA-Entomologia ] | / \ [36570-000 Vi??osa -

Hi, look this: > summary(fam??lia) Anacardiaceae Annonaceae Bombacaceae Cecropiaceae 2 4 1 3 Chrysobalanaceae Clusiaceae Euphorbiacaea Fabacea 1 1 4 3 Fabaceae Flacourtiaceae Humiriaceae indeterminada

Hi, I make a upgrade to R 2.1.0 and in some analysis I give an error: anova(model,test="F") Analysis of Deviance Table Model: binomial, link: logit Response: landing/total Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev F Pr(>F) NULL 16 105.079 trat 1 93.149 15 11.930 93.15 Warning message:

Its just a simple question I guess: I have a vector with missing information like x<-c(0,1,31,131,NA,133,NA,310,NA,112,3,1,2,93) How can I make a vector like this no missing in it. I used the x[x<0] commabd and tried some more, with no success. thx Korbinian

Hi all, I have a little problem. I make an weibull survival analysis using the survival package. It,s OK, them I have the functions. I plot this funcions with curve(). I want to make a plot with the real survival points (proportion of alive x time) and them add the curves to points. I have the time to dead, the censor data and my trataments. To analysis the model is: model1 <-

Hi, Please, change the brazilian mirror http://www.termix.ufv.br/CRAN/ to http://www.insecta.ufv.br/CRAN/ in R homepage. Thanks ROnaldo -- Se dois homens no mesmo trabalho concordam o tempo todo, um deles ?? demais. Se discordam sem parar, ent??o os dois s??o dispens??veis --Darryl F. Zanuck -- |> // | \\ [***********************************] | ( ?? ?? ) [Ronaldo Reis J??nior