Displaying 1 result from an estimated 1 matches for "retailsmall".
2006 Jan 16
1
princomp() with missing values in panel data?
dear R wizards: the good news is that I know how to omit missing
observations and run a principal components analysis.
p= princomp( na.omit( dataset ) )
p$scores[ ,1] # the first factor
(where dataset contains missing values; incidentally, princomp(retailsmall,
na.action=na.omit) does not work for me, so I must be doing something wrong,
here.) the bad news is that I would like NA observations to be retained as
NA, so that I can reinsert the factors into the data set:
dataset$first.factor = p$scores[,1]
there must be an elegant way of doing this. help...