Here is a solution that works for your small example.
It might be difficult to prepare your larger data sets to use the same
method.
db <-rbind(d1,d2)
aggregate(subset(db,select=-c(subject,trt)),
by=list(subject=db$subject),mean)
## or, for example,
aggregate(subset(db,select=-c(subject,trt)), by=
Hi,
I might write a little function that does different things depending
on the class of the variable. Along the lines of:
where i is a column index:
function(i) {
if (is.numeric(imputeddata[, i])) {
something
} else if (is.factor(imputeddata[, i])) {
something else
} etc.
then you can jus
Hi all,
after using Amelia II to create 10 imputed data sets I need to average them
to have one unique data that includes the average for each cell of the
variables imputed, in addition to the values for the variables not imputed.
Such data has many variables (some numeric, other factors), and mor
3 matches
Mail list logo
