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....data) 3rd case xxx.glm<-glm(cbind(r,n-r)~age*sex*class,family=binomial, data=xxx.data) what is difference between the above 3 cases? which one is the best to use? if Ii don't group the data, can I use the 1st case. if i group the data, can i use 2nd or 3rd case? please advise. Cheers. Andyer

....action = na.action, xlev = object$xlevels) : variable lengths differ (found for 'Cult') In addition: Warning message: 'newdata' had 1 rows but variable(s) found have 60 rows Is there anything I have done wrong?? Please help with the coding. Thank you so much!!! All the best. Andyer.

Hi All, I have a data set containing : pclass: A factor giving the class of the passenger: one of 1st, 2nd, 3rd. age The age of the passenger in years. sex Passenger's gender: female or male age.group Passengers age group, one of 0?9 , 10?19, 20?29, 30?39, 40?49, 50?59, 60?69, 70?79 survived Passenger's survival (1=survived, 0=did not survive)

Dear all, I need to clean up one variables in a dataset. e.g. lets say the dataset is "trial", the variable for cleaning up is "V1" >trial$V1 [1] 0(a=1) 0(b=1) 0.133(b=1) 0.555(a=1) >5.32(a=1) what i need to do is to remove the text (a=1) and (b=1) and the ">" in the V1, and then convert to a numeric variable, and als I am aslo requested that when the