S3 methods for `errors`

objects.

## Usage

```
# S3 method for errors
mean(x, trim = 0, na.rm = FALSE, ...)
# S3 method for errors
weighted.mean(x, ..., na.rm = FALSE)
# S3 method for errors
median(x, na.rm = FALSE, ...)
```

## Arguments

- x
an

`errors`

object.- trim
the fraction (0 to 0.5) of observations to be trimmed from each end of

`x`

before the mean is computed. Values of trim outside that range are taken as the nearest endpoint.- na.rm
a logical evaluating to

`TRUE`

or`FALSE`

indicating whether`NA`

values should be stripped before the computation proceeds.- ...
further arguments passed to of from other methods.

## Details

The `mean`

and `weighted.mean`

methods set the uncertainty as
the maximum of the standard deviation of the mean and the (weighted) mean of the uncertainty.

The `median`

method sets the uncertainty as `1.253 * errors(mean(x))`

,
which is derived from the asymptotic variance formula of the median. Note that
this value is valid only if the sample is big enough.