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Hi R-users, My question is more methodological one, rather than technical. I have to samples representing residuals based on two measurements techniques (resid1,resid2; n=69). I need to compare two samples, to reject one technique (the worse one), and to keep the one which gave lower residuals (better one). What to look for? What should I analyse? Means, variance, std. deviations? Based on preliminary EDA: mean_resid1 < mean_resid2 #I would reject...

...arameter and when I try to run it it say that the length of my initial values is not the same as the parameter. Can somebody guide me where my mistake is. Thanks, Elisa. ################################# #### OLS ESTIMATION fit1 <- lm(Y1 ~ Xi) fit2 <- lm(Y2 ~ Xi) fit3 <- lm(Y3~ Xi) resid1 <- Y1-as.matrix(cbind( 1,Xi))%*%fit1$coef resid2 <- Y2-as.matrix(cbind( 1,Xi))%*%fit2$coef resid3 <- Y3-as.matrix(cbind( 1,Xi))%*%fit3$coef sigma1<-sum(resid1*resid1)/nrow(Xi) sigma2<-sum(resid2*resid2)/nrow(Xi) sigma3<-sum(resid3*resid3)/nrow(Xi) rho12<- cor(resid1, resid2) rh...

...5.3330 1.4722 3.622 0.00555 ** c 0.8045 0.0274 29.364 3.01e-10 *** Then, trying to get confidence intervals for the parameters using the nlsBoot function in the nlstools package I got this error: > modelboot<-nlsBoot(model) Error en data2[, var1] <- fitted1 + sample(scale(resid1, scale = FALSE), : objeto de tipo 'environment' no es subconjunto I?ve tried with another response variable and other self starting function (SSlogis) and got the same error. Any suggestions? Francisco ---------------------- Francisco Mora Ardila Estudiante de Doctorado Centro de...