# isZero

From R.utils v0.7.9
by Henrik Bengtsson

##### Checks if a value is (close to) zero or not

##### Usage

```
## S3 method for class 'default}(x, neps=1, eps=.Machine$double.eps, ...)':
isZeroundefined
```Checks if a value (or a vector of values) is (close to) zero or not
where "close" means if the absolute value is less than `neps*eps`

.
*Note that *`x == 0`

will not work in all cases.
By default `eps`

is the smallest possible floating point value
that can be represented by the running machine, i.e.
`.Machine$double.eps`

and `neps`

is one.
By changing `neps`

it is easy to adjust how close to zero "close"
means without having to know the machine precision (or remembering how
to get it).
- x
{A `vector`

of values.}
- eps
{The smallest possible floating point.}
- neps
{A scale factor of `eps`

specifying how close to zero
"close" means. If `eps`

is the smallest value such that
code{1 + eps != 1}, i.e. `.Machine$double.eps`

, `neps`

must
be greater or equal to one.}
- ...
{Not used.}
Returns a `logical`

`vector`

indicating if the elments are zero or not.
[object Object]
`.Machine`

.
x <- 0
print(x == 0) # TRUE
print(isZero(x)) # TRUE
x <- 1
print(x == 0) # FALSE
print(isZero(x)) # FALSE
x <- .Machine$double.eps
print(x == 0) # FALSE
print(isZero(x)) # FALSE
x <- 0.9*.Machine$double.eps
print(x == 0) # FALSE
print(isZero(x)) # TRUE
logic

*Documentation reproduced from package R.utils, version 0.7.9, License: LGPL version 2.1 or newer (the releases)*

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