PeirceLimits: Plot limits of Peirce's function

In Peirce: Functions for removing outliers, with illustrations

Description

Produces 3d plots using rgl (rotatable) and scatterplot3d which gives values of R for various values of N and m. R is the maximum allowable absolute error for a value in a vector of observations. N is the number of observations (length of vector). m, the ‘number of unknown quantities’, may be treated as the number of independent processes giving rise to errors in the vector.

Usage

PeirceLimits(N=1000L, plots=TRUE, noPoints=100)

Arguments

N	is the number of observations (length of vector)
plots	if TRUE then will display 3d plots
noPoints	no of intervals into which to divide k and n. Defaults to 100, corresponding to 100% of N. Larger values will give a more detailed resolution for the plotted image. Set to the same value as N to generate results for every combination of k and m up to N
asPercent	if TRUE then will display returned values of k and m as percentages of N

Value

3d plots with rgl and scatterplot3d. A dataframe with value of R for a given combination of k and m.

Note

This can take some time to run for large values of N e.g. >10000.

See Also

Peirce

Examples

## Not run: PeirceLimits()

Peirce documentation built on May 2, 2019, 5 p.m.