| num_equal {ds4psy} | R Documentation |
Test two numeric vectors for pairwise (near) equality.
Description
num_equal tests if two numeric vectors x and y are pairwise equal
(within some tolerance value 'tol').
Usage
num_equal(x, y, tol = .Machine$double.eps^0.5)
Arguments
x |
1st numeric vector to compare (required, assumes a numeric vector). |
y |
2nd numeric vector to compare (required, assumes a numeric vector). |
tol |
Numeric tolerance value.
Default: |
Details
num_equal is a safer way to verify the (near) equality of numeric vectors than ==,
as numbers may exhibit floating point effects.
See Also
is_equal function for generic vectors;
all.equal function of the R base package;
near function of the dplyr package.
Other numeric functions:
base2dec(),
base_digits,
dec2base(),
is_equal(),
is_wholenumber(),
num_as_char(),
num_as_ordinal()
Other utility functions:
base2dec(),
base_digits,
dec2base(),
is_equal(),
is_vect(),
is_wholenumber(),
num_as_char(),
num_as_ordinal()
Examples
num_equal(2, sqrt(2)^2)
# Recycling:
num_equal(c(2, 3), c(sqrt(2)^2, sqrt(3)^2, 4/2, 9/3))
# Contrast:
.1 == .3/3
num_equal(.1, .3/3)
# Contrast:
v <- c(.9 - .8, .8 - .7, .7 - .6, .6 - .5,
.5 - .4, .4 - .3, .3 - .2, .2 -.1, .1)
unique(v)
.1 == v
num_equal(.1, v)