On 01/10/2014 23:54, Peter Alspach wrote:
Tena koe Kate
If kateDF is a data.frame with your data, then
apply(kateDF, 1, function(x) isTRUE(all.equal(x[2], x[1], check.attributes =
FALSE, tolerance=0.1)))
comes close to (what I think) you want (but not to what you have illustrated in
your 'eventual outcome'). Anyhow, it may be enough to allow you to get there.
HTH ....
Peter Alspach
I seem to need to specify all.equal(..., scale) to get correct values
for some data/tolerances:
--------------
aDF <- data.frame(a = 1:10, b=10:1)
apply(aDF, 1, function(x)
isTRUE(all.equal(x[2], x[1], check.attributes = FALSE, tolerance = 5,
scale = 1))
)
# [1] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE
apply(aDF, 1, function(x)
isTRUE(all.equal(x[2], x[1], check.attributes = FALSE, tolerance = 5))
)
# [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE
----------------------
I'm probably being stupid, but from reading ?all.equal I would have
expected scale = 1 and the default scale = NULL to give identical
results for the length one numerics being passed to all.equal.
Can anyone explain?
KJ
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