Hi,
Have you looked at the compare package? It might do what you want (I
just remember seeing its description on R News recently but I've never
used it),
d <- data.frame(x=1:10,y=sin(1:10),z=factor(letters[1:10]))
d1 <- d
d1$x[2:3] <- jitter(d$x[2:3] )
d2 <- subset(d1, !(z %in% c("a","g")
Hi: you've got to create a setdiff in both directions in order to get the
lone ones in each column because setdiff is
not commutative meaning that setdiff(a,b) does not equal setdiff(b,a). once
you do that, then
( setdiff1 + setdiff2 - intersect ) should equal the union.
if it
hello,
I am hoping for some advice regarding comparing variables from 3
versions of a spreadsheet which have been combined into a single
dataframe. The aim is to identify which rows have been changed.
The dataframe contains 177 rows of data (each cell contains text).
'intersect' produced a f
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