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")))
compare(d,d2,allowAll=T)->test
str(test)
Just an idea,
baptiste
On 4 Apr 2009, at 23:45, markle...@verizon.net wrote:
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 doesn't, that would be weird and more investigation would
need to be
done.
On Apr 4, 2009, Bob Green <bgr...@dyson.brisnet.org.au> wrote:
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 file with 35 rows, 'union' a file with 303
rows and 'setdiff' a file with 130 rows
Below is the code that I have started with.
Ideally I would like to identify the actual row numbers where
there
is difference in the variables (either pairwise or between 3
variables).
x <- read.csv("c://rec_compare.csv",header=T, as.is=TRUE)
u <- union(x$rm1, x$redc1)
write.csv(u,"c:/union_test.csv")
i <- intersect(x$rm1, x$redc1)
write.csv(i,"c:/intersect_test.csv")
sd <- setdiff(x$rm1, x$redc1)
write.csv(sd,"c:/setdiff_test.csv")
Any suggestions are appreciated.
regards
Bob
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_____________________________
Baptiste Auguié
School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK
Phone: +44 1392 264187
http://newton.ex.ac.uk/research/emag
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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