Peirce
Functions for removing outliers, with illustrations

Package index
Search the Peirce package
Vignettes
Functions
27
Source code
11
Man pages
15
Home
/
R-Forge
/
Peirce
/
NlogQ: NlogQ

NlogQ: NlogQ
In Peirce: Functions for removing outliers, with illustrations

Description Usage Arguments Details Value References Examples

View source: R/NlogQ.R

Description

Calculate the value of NlogQ.

Usage

1
NlogQ(N, k)

Arguments

N

N Number of observations in dataset.

k

Number of observations proposed to be rejected in dataset.

Details

Calculates NlogQ, as given in Table III of Goulds paper below. This value is used in the calcuation of R, the maximum allowable absolute error for a value in a vector of observations.

Value

Numeric.

References

Gould BA (1855). On Peirce's Criterion for the Rejection of Doubtful Observations, with tables for facilitating its application. Astronomical Journal, 4(83), 81(87)

Examples

1
NlogQ(N=10, k=1)  # = 8.58818...

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

Related to NlogQ in Peirce...

Peirce index
Package overview

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close