search for: camposarceiz

...2 # A level.2 31.064405 3 # A level.2 31.064405 4 # A level.1 19.185784 1 # A level.2 48.455929 1 # A level.2 48.455929 2 # A level.2 48.455929 3 # etc... ############################# Thank you very much!! Ahimsa -- ahimsa campos-arceiz www.camposarceiz.com [[alternative HTML version deleted]]

...sd=50), rnorm(200, mean=250, sd=50)) multhist(mh) In this graph y-axis represents the frequency of observations.... but I would like it to be scaled into relative frequencies, does anybody know how to do this with multhist or similar function? thanks a lot, Ahimsa -- ahimsa campos-arceiz www.camposarceiz.com [[alternative HTML version deleted]]

...c(35.92, 12.08, 12.08, 30.00, 33.73, 35.92, 12.08, 30.00, 56.00, 30.00, 35.92, 33.73, 12.08, 26.00, 54.00, 12.08, 12.08, 35.92, 35.92 , 12.08, 33.73, 35.92, 63.20, 30.00, 26.00, 33.73, 23.50, 30.00, 35.92 , 30.00) Thank you very much! Ahimsa -- ahimsa campos-arceiz www.camposarceiz.com [[alternative HTML version deleted]]

...") summary(red.model1) # reduced model 2 without the interaction id:S:t red.model2 <- lmer(y ~ A*S*t + (S+t|id), dummy.df, method="ML") summary(red.model2) anova ( full.model, red.model1, red.model2) # I continue later testing the effect of A*t... -- ahimsa campos-arceiz www.camposarceiz.com [[alternative HTML version deleted]]

...<- data.frame(var,x1,x2,x3) df # classifying the values of the vector df$x1 into bins of width 5 df$x1 <- cut(df$x1, br=5*(0:40), labels=5*(1:40)) df$x1 # trying it a subset of the data.frame df[,3:4] <- cut(df[,3:4], br=5*(0:40), labels=5*(1:40)) df[,3:4] -- ahimsa campos-arceiz www.camposarceiz.com [[alternative HTML version deleted]]

Dear R Admins, I received an unsolicited e-mail from BlueInference as an R user. Does it mean that R that our e-mails (and names) is sharing it's user database with third parties without our consent? Or perhaps the BlueInference guys are using an e-mail address miner to get our contact details? [SNIP] Dear Gorden Jemwa, As a fellow R user, I am sure you agree with me that R is a

Dear list-members, I have made a logistic regression analysis of the spatial distribution of an ecological phenomenon (wildlife-caused crop damage). I divided the region into 5x5 km grids, and in each grid I have performed a number of questionnaires to asses the presence of crop damage in particular houses. As a result, my dependent variable is not a simple presence/ absence data but a

Sorry I have a very simple question: I used somers2 function from Design package: > z<- somers2(x,y, weights=w) results are: >z C Dxy n Missing 0.88 0.76 500 0.00 Now I want to call only the value of C to be used in further analyses, but I fail to do it. I have tried: > z$C NULL > z[,C] Error in z[,C]: incorrect number of dimensions and some other silly