weighted.mean.circular: Weighted Mean Direction

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Returns the weighetd mean direction of a vector of circular data.

Usage

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## S3 method for class 'circular'
weighted.mean(x, w, na.rm=FALSE,
  control.circular=list(), ...)

Arguments

x

a vector. The object is coerced to class circular.

w

a numerical vector of weights the same length as x giving the weights to use for elements of x.

na.rm

logical, indicating if NA's should be omitted.

control.circular

the attribute of the resulting object.

...

further arguments passed to or from other methods.

Details

Each observation is treated as a unit vector, or point on the unit circle. The resultant vector of the observations is found, and the direction of the resultant vector is returned. An NA is returned if the weighted resultant length is less than .Machine.

If w is missing then all elements of x are given the same weight, otherwise the weights coerced to numeric by as.numeric and normalized to sum to one.

Missing values in w are not handled specially and so give a missing value as the result. However, zero weights are handled specially and the corresponding x values are omitted from the computation.

Value

Returns the weighted mean direction of the data as an object of class circular with the attribute given by control.circular or from x if missed in control.circular.

Author(s)

Claudio Agostinelli

See Also

mean.circular

Examples

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# Compute the weighted mean direction of a random sample of observations.
x <- circular(runif(50, circular(0), pi))
w <- runif(50, 0, 1)
weighted.mean(x, w)

Example output

Attaching package: 'circular'

The following objects are masked from 'package:stats':

    sd, var

[1] 1.555426

circular documentation built on May 2, 2019, 4:42 p.m.