search for: missingnes

Dear R-users, i try to generate missing values in a matrix X according to a given missingnes pattern R with the probabilities p per row. X<-matrix(rnorm(3*100),ncol=3) ## indicator matrix for missingnes (1 observed, 0 missing) R<-matrix(c(1,1,1, 0,0,1, 1,1,0, 0,1,1),ncol=3,byrow=TRUE) ## probabilities for row 1, row 2, row 3 and row 4 p<-c(0....

...1. *Goal*: We want to know if the two experiments yielded different results in the subjects answers. *Statistical test (and why it won't work)*: Naturally we would turn to performing a mcnemar test. But here is the twist: we have missing values in our data. For our purpose, let's assume the missingnes is completely at random, and we also have no data to use for imputation. Also, we have much more missing data for experiment number 2 then in experiment number 1. So the question is, under these settings, how do we test for experiment effect on the outcome? So far I have thought of two options: 1...

Hi I've simulated multivariate longitudinal. The data is a mixture of conitnous and categorical data. I've stored it in matrix form with the time dependent variables as colons. Now I want to create a monote missing data pattern starting of with MCAR-missingnes and different proportions of missingdata and then refine the function to handle MAR and NMAR. Is there anybody that could help or point in the right direction. /Mauri [[alternative HTML version deleted]]