search for: ageclass

Dear expert friends, I'm pretty young of this world and my question at your eyes can be petty easy. I'll need to change the name of the levels inside a column of my data-frame levels(ind.davis$Ageclass) <- c("adult", "Juvanile", "sub-adult") names(ind.davis$Ageclass) <- c("Adult", "Juvenile", "Sub-adult") that is what I tried but of course doesn't work. Thanks, have a wonderful day, Leo [[alternative HTML version deleted]]

Dear list, I have following data set, which I want to plot the "Scale" variable on the x-axis and "Mean"´on the y-axis for each Ageclass and for each sex. The Mean value of each Ageclass for each sex would be connected by a line. Totally, there should be 6 lines, from which three present the Mean values of each Ageclass for respective sex. Are there any easy ways to do this in R? Ageclass Scale Mean Sex 1 21-40...

...Leonardo Malaguti < leonardomalaguti27 at gmail.com> wrote: > Dear expert friends, > I'm pretty young of this world and my question at your eyes can be petty > easy. > I'll need to change the name of the levels inside a column of my data-frame > > levels(ind.davis$Ageclass) <- c("adult", "Juvanile", "sub-adult") > names(ind.davis$Ageclass) <- c("Adult", "Juvenile", "Sub-adult") > that is what I tried but of course doesn't work. > > Thanks, > have a wonderful day, > Leo > >...

Hello to the R world... I have some problems regarding a GLM - repeated measures analysis. I want to test overall differences between AgeClass and Treatment (between subject) with OpenR1+OpenR2+OpenR3 (repeated measures, within subject). The table looks kind like this: AgeClass Treatment OpenR1 OpenR2 OpenR3 1 1 0 0 12.63 1 1 12.67 3.83 45.67 1 1 38.46 65.38 75.21 1 1 14.46 0 17.96 1 2 27.83 47.33 66.38 1 2 15.75 0 10.21 1 2 43.96 41.0...