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S3 methods for errors objects.


# 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, ...)



an errors object.


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.


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.


An errors object.


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.