... correction: you need to use absolute value for the comparison, of
course.
all(abs(diff(z) - z[2] + z[1]) < tol)
-- Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll
On Mon, Apr 6, 2015 at 10:47 AM, Bert Gunter <bgunter at gene.com> wrote:
Perhaps ?diff might be useful here:
z <- runif(20)
all(diff(z) == z[2] - z[1] )
## FALSE
z <- seq_len(10)
all(diff(z) == z[2] - z[1] )
##TRUE
You can use signif or round as before to allow for "near uniformity"
or use ?zapsmall or an explicit comparison with a tolerancec instead
of ==, e.g. all(diff(z) - z[2] + z[1] < tol)
Cheers,
Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll
On Mon, Apr 6, 2015 at 10:11 AM, Marc Lamblin <marcgg.lamblin at gmail.com>
The aim is to control if a given abscissa/grid is uniform or not.
in generic vector of real ordered numbers.
Here a reproducibile code:
# uniform abscissa/grid
abscissa1 <- seq(0, 1, length=100)
# non-uniform abscissa/grid
abscissa2 <- sort(runif(100))
control1 <- all(signif(abscissa1[1:(length(abscissa1) - 1) + 1] -
abscissa1[1:(length(abscissa1) - 1)]) ==
signif(rep((range(abscissa1)[2] -
range(abscissa1)[1])/(length(abscissa1) - 1), length(abscissa1) - 1)))
control2 <- all(signif(abscissa2[1:(length(abscissa2) - 1) + 1] -
abscissa2[1:(length(abscissa2) - 1)]) ==
signif(rep((range(abscissa2)[2] -
range(abscissa2)[1])/(length(abscissa2) - 1), length(abscissa2) - 1)))
control1
control2
As expected control1 is TRUE and control2 is FALSE. Actually in this
it is possible also to use
diff inside signif.
Do you mean that the control to perform can be done in this manner
if (length(unique(diff(vec))) == 1) {
control <- TRUE
} else {
control <- FALSE
}
I have tried to apply this control on abscissa1 which is uniform but
length(unique(diff(abscissa1))) was greater than one; probably, as you
said, this is due to the fact that in this way I don't take into account
the machine precision.
What I want to understand is if there is a SAFE solution, even if until
this control is working correctly. I have seen in the documentation of
signif that by default the number of digits considered are 6. The
digits to consider depends on the scale used. It doesn't make sense to
increase the number of digits with respect to default because, in this
case, you are not using an handy scale.
Maybe it could be better directly to ask user if the abscissa passed as
argument is uniform or not.
Thanks a lot for the link!!!
Marc
2015-04-06 16:32 GMT+02:00 Sarah Goslee <sarah.goslee at gmail.com>:
Without a reproducible example that includes some sample data (fake is
fine), the code you used (NOT in HTML format), and some clear idea of
what output you expect, it's impossible to figure out how to help you.
Here are some suggestions for creating a good reproducible example:
Without knowing what you want, it looks like abscissa is a vector, and
so I'm not sure how this defines a grid, but
length(unique(diff(vec)))
might help. Note that this DOES NOT account for machine precision in
way.
Sarah
On Mon, Apr 6, 2015 at 7:50 AM, Marc Lamblin <marcgg.lamblin at gmail.com
I need to control of a given grid is uniform. This control using
until now works:
if (all(signif(abscissa[1:(length(abscissa) - 1) + 1] -
abscissa[1:(length(abscissa) - 1)]) ==
signif(rep((range(abscissa)[2] -
range(abscissa)[1])/(length(abscissa) - 1),
1)))) {
# other stuff
}
Does someone have some suggestions to improve this control? Thanks in
advance!! :)
Marc
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