Chauvenet: Chauvenets function to remove outliers
In Peirce: Functions for removing outliers, with illustrations

Description Usage Arguments Details Value References Examples

Remove outliers from a vector based on Chauvenets criterion.

1	Chauvenet(v, loop = FALSE)

`v`	`v` vector of numeric values
`loop`	`loop` logical value; if TRUE, process will be repeated until no more values can be removed

Calculates z value for each value in the vector (from mean and standard deviation). Then removes elements where the erfc of the z value is >0.5. (erfc = complementary error function). If loop = TRUE, this process will be repeated until no more values can be removed.

A numeric vector, with outliers removed; preserves order of original vector. The vector will contain at least two values.

William Chauvenet, A Manual of Spherical and Practical Astronomy V.II , Lippincott, Philadelphia, 1st Ed (1863); Reprint of 1891 5th Ed: Dover, NY (1960).

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v1 <- c( 101.2, 90.0, 99.0, 102.0, 103.0, 100.2, 89.0, 98.1, 101.5, 102.0)
Chauvenet(v1) # 2 outliers removed
Chauvenet(v1, loop=TRUE) # 8 outliers removed (the maximum)