base (version 3.1.0)

all.equal: Test if Two Objects are (Nearly) Equal

Description

all.equal(x, y) is a utility to compare R objects x and y testing ‘near equality’. If they are different, comparison is still made to some extent, and a report of the differences is returned. Do not use all.equal directly in if expressions---either use isTRUE(all.equal(....)) or identical if appropriate.

Usage

all.equal(target, current, ...)
"all.equal"(target, current, tolerance = .Machine$double.eps ^ 0.5, scale = NULL, ..., check.attributes = TRUE)
"all.equal"(target, current, ..., check.attributes = TRUE, use.names = TRUE)
"all.equal"(target, current, ..., tolerance = 1e-3, scale)
attr.all.equal(target, current, ..., check.attributes = TRUE, check.names = TRUE)

Arguments

target
R object.
current
other R object, to be compared with target.
...
Further arguments for different methods, notably the following two, for numerical comparison:
tolerance
numeric $\ge$ 0. Differences smaller than tolerance are not reported. The default value is close to 1.5e-8.
scale
numeric scalar > 0 (or NULL). See ‘Details’.
check.attributes
logical indicating if the attributes of target and current (other than the names) should be compared.
use.names
logical indicating if list comparison should report differing components by name (if matching) instead of integer index. Note that this comes after ... and so must be specified by its full name.
check.names
logical indicating if the names(.) of target and current should be compared.

Value

Either TRUE (NULL for attr.all.equal) or a vector of mode "character" describing the differences between target and current.

Details

all.equal is a generic function, dispatching methods on the target argument. To see the available methods, use methods("all.equal"), but note that the default method also does some dispatching, e.g. using the raw method for logical targets. Remember that arguments which follow ... must be specified by (unabbreviated) name: some of them were before ... prior to R 3.1.0. It is inadvisable to pass unnamed arguments in ... as these will match different arguments in different methods. Numerical comparisons for scale = NULL (the default) are done by first computing the mean absolute difference of the two numerical vectors. If this is smaller than tolerance or not finite, absolute differences are used, otherwise relative differences scaled by the mean absolute difference.

If scale is positive, absolute comparisons are made after scaling (dividing) by scale.

For complex target, the modulus (Mod) of the difference is used: all.equal.numeric is called so arguments tolerance and scale are available.

The list method compares components of target and current recursively, passing all other arguments, as long as both are “list-like”, i.e., fulfill either is.vector or is.list.

The methods for the date-time classes by default allow a tolerance of tolerance = 0.001 seconds, and ignore scale.

attr.all.equal is used for comparing attributes, returning NULL or a character vector.

References

Chambers, J. M. (1998) Programming with Data. A Guide to the S Language. Springer (for =).

See Also

identical, isTRUE, ==, and all for exact equality testing.

Examples

Run this code
all.equal(pi, 355/113)
# not precise enough (default tol) > relative error

d45 <- pi*(1/4 + 1:10)
stopifnot(
all.equal(tan(d45), rep(1, 10)))          # TRUE, but
all      (tan(d45) == rep(1, 10))         # FALSE, since not exactly
all.equal(tan(d45), rep(1, 10), tolerance = 0)  # to see difference

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