Actually, there was another reason for the function equal() but I
wasn't remembering what.
all.equal doesn't recycle its arguments, just see this example.
equal <- function(x, y, eps = .Machine$double.eps^0.5) abs(x - y) < eps
x <- seq(0, 1, by = 0.2)
x == 0.6
all.equal(x, 0.6)
equal(x, 0.6)
Rui Barradas
Citando ruipbarra...@sapo.pt:
Not exactly, all.equal is much more complete.
It accepts all kinds of objects, not just vectors.
Rui Barradas
Citando Ivan Calandra <ivan.calan...@univ-reims.fr>:
Hi,
Not sure, but it seems that your function equal() is exactly what
all.equal() does, isn't it?
Ivan
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Le 09/09/2016 à 14:47, ruipbarra...@sapo.pt a écrit :
Hello,
See FAQ 7.31.
It's irrelevant if you write 100 or 100.0, the values are the
same. The difference would be between 100 (double) and 100L
(integer).
To check for equality between floating-point numbers you can use,
for instance, the following function.
equal <- function(x, y, eps = .Machine$double.eps^0.5) abs(x - y) < eps
equal(100, 100 + 2e-15)
[1] TRUE
Hope this helps,
Rui Barradas
Citando Matti Viljamaa <mvilja...@kapsi.fi>:
I need to pick from a dataset those rows that have a double value
set to 100.
However since the values in this column are like the following:
[1] 121.11750 89.36188 115.44320 99.44964 92.74571 107.90180
[7] 138.89310 125.14510 81.61953 95.07307 88.57700 94.85971
[13] 88.96280 114.11430 100.53410 120.41910 114.42690
…
Then can I match against 100 or 100.0? Or do I need to match
against 100.00000 or something else?
E.g. does
100.0 %in% kidmomiq$mom_iq
produce a truthful match result with this kind of data (I’m
getting 0 occurrences, which might be correct, but I’m not sure)?
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