>Ah, I think I see what you want. Try this on each pair of exclusive sets:
<snip>
>Then under65row and over65row should be the first two rows of your result.
>Can't test this at the moment, but I don't think it's too far wrong.
>
I knew this shouldn't need so much work ;-)
Not cracked it yet - because as I see it I need a 2 x 4 table and at the moment
I only cracked a 2 x 2 table. ( Or really I need something like a 10 x 4 - but
the 4 is the bit that I haven't cracked)
First option is something like this:
with(mydataset, table(Sex, Dose))
I can get:
Dose
Sex FD RD
F 6 15
M 16 23
For non catagorical data its slightly trickier... but quite achievable in two
lines (for the 2 x 2 table)
factor(cut(mydatasetl$Age, breaks = c(0,65,100))) -> AgeBands
table (AgeBands, mydataset$Dose)
Which gives:
AgeBands FD RD
(0,65] 15 6
(65,100] 13 26
Although - I'm not yet sure if I can actually call that data back by column
names. ie
x <- table (AgeBands, mydataset$Dose)
x$FD
produces an error. :-(
But getting there.
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