jim holtman wrote:
> table(data[column])
>
> will give you the number of items in each subgroup; that would be the
> count you are after.
Thanks for your Help! That rocks! I can do
copynum <- table(data_6plus["Accession.number"])
data_6plus$"Repeats" <- sapply(data_6plus[["Accession.number"]], function(x)
copynum[x][[1]])
now!
But how about this:
- do something along the lines of
duplicity <- duplicated(data_6plus["Accession.number"])
data_6plus_unique <- subset(data_6plus,duplicity!=TRUE)
- BUT: retain from each deleted row one field, append it to a vector and
fill that into a new field of the remaining row of the set sharing
data_6plus["Accession.number"]?
How would you do something like that?
Joh
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