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

Generates median of scaled differences from each point in a data set to all other points..

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`x` |
Vector of observations |

`s` |
Either a function returning an estimate of scale for |

`...` |
Parameters passed to |

For each observation `x[i]`

, `msd`

calculates the median of `|x[i]-x[j]|/sqrt(s[i]^2+s[j]^2), j!=i`

,
that is, the median of differences divided by the estimated uncertainties of the distance.

If `s`

is a function, it is applied to `x`

and replicated to length `length(x)`

; if
a scalar, it is replicated to length `length(x)`

.

The median scaled difference is a measure of how ‘far’ an individual observation is from
the majority of the other values in the data set. As a rule of thumb, values above
2 are indicative of a suspect `(x[i], s[i])`

data pair; that is, a value `x[i]`

that
is remote from a large fraction of the remaining data given its associated standard
error or standard uncertainty `s[i]`

.

An object of class "MSD", consisting of a vector of length `length(x)`

of median
scaled absolute deviations for each observation, with attributes:

`names` |
character vector of names, taken from |

`x` |
values supplied as |

`s` |
values supplied as |

Print and plotting methods are currently provided for the `"MSD"`

class;
see `MSD-class`

.

S. L. R. Ellison s.ellison@lgc.co.uk

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