Dear all,
What is the quickest and most efficient way to diff two data frames,
so as to obtain a vector of indices (or logical) for rows/columns that
differ in the two data frames? For example,
> Xe <- head(mtcars)
> Xf <- head(mtcars)
> Xf[2:4,3:5] <- 55
> all.equal(Xe, Xf)
[1] "Component 3: Mean relative difference: 0.6863118"
[2] "Component 4: Mean relative difference: 0.4728435"
[3] "Component 5: Mean relative difference: 14.23546"
I could use all.equal(), but it only returns human readable info that
cannot be easily used programmatically. It also gives no info on the
rows. Another way would be to:
require(prob)
> setdiff(Xe, Xf)
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
But again this doesn't return subsetting indices, nor any info on hte
columns. Any suggestions on how to approach this?
Regards ,
Liviu
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
