Dear Val,
also consider using reshape2::dcast
dat <- structure(list(Year = c(2001L,
2001L, 2001L, 2001L, 2001L, 2001L,
2002L, 2002L, 2002L, 2002L, 2002L,
2002L, 2003L, 2003L, 2003L, 2003L,
2003L, 2003L), Sex = c("M", "M", "M",
"F", "F", "F", "M", "M", "M", "F", "F",
"F", "M", "M", "M", "F", "F", "F"), wt =
c(15L, 14L, 16L, 12L, 11L, 13L, 14L,
18L, 17L, 11L, 15L, 14L, 18L, 13L, 14L,
15L, 10L, 11L)), class = "data.frame",
row.names = c(NA, -18L))
reshape2::dcast(data=dat,
formula=Year~Sex,
value.var="wt",
fun.aggregate=mean)
yielding
Year F M
1 2001 12.00000 15.00000
2 2002 13.33333 16.33333
3 2003 12.00000 15.00000
Best,
Rasmus
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