[R] comparing columns in a dataframe
baptiste auguie
ba208 at exeter.ac.uk
Sun Apr 5 13:00:32 CEST 2009
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, markleeds at 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 <bgreen at 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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