h.qcs | R Documentation |
This function is used to compute the Mandel's h statistic.
h.qcs(x, ...) ## Default S3 method: h.qcs( x, var.index = 1, replicate.index = 2, material.index = 3, laboratory.index = 4, data.name = NULL, alpha = 0.05, ... ) ## S3 method for class 'lab.qcdata' h.qcs(x, alpha = 0.05, ...)
x |
An object of class |
... |
Other arguments passed to or from methods. |
var.index |
A scalar with the column number corresponding to the observed variable (the critical to quality variable). Alternativelly can be a string with the name of the quality variable. |
replicate.index |
A scalar with the column number corresponding to the index each replicate. |
material.index |
A scalar corresponding to the replicated number. |
laboratory.index |
A scalar that defines the index number of each laboratory. |
data.name |
A string specifying the name of the variable which appears on the plots. If name is not provided, it is taken from the object given as data. |
alpha |
The significance level (0.05 by default) |
Wilrich Peter-T. (2013), Critical values of Mandel's h and k, the Grubbs and the Cochran test statistic. Asta-Advances in Statistical Analysis, 97(1):1-10.
ASTM E 691 (1999), Standard practice for conducting an interlaboratory study to determine the precision of a test method. American Society for Testing and Materials. West Conshohocken, PA, USA.
library(ILS) data(Glucose) Glucose.qcdata <- lab.qcdata(Glucose) str(Glucose.qcdata) h<- h.qcs(Glucose.qcdata, alpha = 0.005) summary(h) plot(h)
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