View source: R/utils_resolution.R
zero_range | R Documentation |
The machine epsilon is the difference between 1.0 and the next number that can be represented by the machine. By default, this function uses epsilon * 100 as the tolerance. First it scales the values so that they have a mean of 1, and then it checks if the difference between them is larger than the tolerance.
zero_range(x, tol = .Machine$double.eps * 100)
x |
numeric range: vector of length 2 |
tol |
A value specifying the tolerance. Defaults to
|
logical TRUE
if the relative difference of the endpoints of
the range are not distinguishable from 0.
eps <- .Machine$double.eps
zero_range(c(1, 1 + eps)) # TRUE
zero_range(c(1, 1 + 99 * eps)) # TRUE
zero_range(c(1, 1 + 101 * eps)) # FALSE - Crossed the tol threshold
zero_range(c(1, 1 + 2 * eps), tol = eps) # FALSE - Changed tol
# Scaling up or down all the values has no effect since the values
# are rescaled to 1 before checking against tol
zero_range(100000 * c(1, 1 + eps)) # TRUE
zero_range(100000 * c(1, 1 + 200 * eps)) # FALSE
zero_range(.00001 * c(1, 1 + eps)) # TRUE
zero_range(.00001 * c(1, 1 + 200 * eps)) # FALSE
# NA values
zero_range(c(1, NA)) # NA
zero_range(c(1, NaN)) # NA
# Infinite values
zero_range(c(1, Inf)) # FALSE
zero_range(c(-Inf, Inf)) # FALSE
zero_range(c(Inf, Inf)) # TRUE
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