mrank: determination of median ranks

In pivotals: Functions implementing pivotal Monte Carlo methods

Description

This is a wrapper function calling C++ code that executes an algorithm based on Leonard C. Johnson's method for establishing adjusted ranks for suspended data in fatige failure tests. Benard's approximation is applied to adjusted ranks to produce a vector of median ranks.

Usage

mrank(x,options=NULL) 

Arguments

x	An ordered event vector consisting of 1's for failures, 0's for suspensions.
options	An optional list such as constructed by wiebulltoolkit::wb.options including the named item methods.rank for which only a value of "qbeta" has been implemented to alter the otherwise default Benard's approximation for determing point estimates for plotting positions.

Value

Returns a vector of the median ranks.

References

Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition" Leonard C. Johnson (1964) "The Statistical Treatment of Fatique Experiments"

Examples

median_ranks<-mrank(c(1,0,1,1,0,1,0,0,1,1))

pivotals documentation built on May 2, 2019, 4:51 p.m.