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...1 1 1 1 2 2 1 2 3 3 1 3 4 4 2 1 5 5 2 2 6 6 2 3 7 7 1 1 8 8 1 2 9 9 2 1 10 10 2 2 but I can’t assign the numbers to the groups (the parameter "trip.id")... I would appreciate any help. Regards, Lilia [[alternative HTML version deleted]]

...for as.integer((uno[j,2]-round(uno))*11) since it is equal to 1 when male and 2 when female. I noticed this problem when trying to use other.matrix[j, (uno[j,2]-round(uno))*10)] for a matrix with information with first information about males and second column about females. Thank you kindly. Lilia [[alternative HTML version deleted]]

Hello everyone, I need to do k-medoids clustering for data which consists of 50,000 observations. I have computed distances between the observations separately and tried to use those with pam(). I got the "cannot allocate vector of length" error and I realize this job is too memory intensive. I am at a bit of a loss on what to do at this point. I can't use clara(), because I

I may be missing something but using the plain old c() combine function seems to work fine: df <- data.frame(left = 1:5, right = 6:10) df.combined <- data.frame(comb = c(df$left, df$right)) df left right 1 1 6 2 2 7 3 3 8 4 4 9 5 5 10 df.combined comb 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 -----Original

Dear R users, I work with a descrete variable (sclae 0 - 27) which is highly skwed to the right (many zeros and small numbers). I measure this variable on a control and intervention cohort 5 times a year. When I analyze analyze this varoable at each time point separately and use GLM with family quasi-Poisson (descrete outcome and two binary variables, gender and cohort, are predictors), I observe

Dear R users, could you please help me figure out why I am getting an error? Initially my data looks like this: > attributes(compl)$names [1] "UserID" "compl_bin" "Sex.x" "PHQ_base" "PHQ_Surv1" "PHQ_Surv2" "PHQ_Surv3" [8] "PHQ_Surv4" "EFE"