Determination of plotting positions to be used for linear regression of life data analysis is a highly debated topic. This function implements a wide assortment of options for the Weibull-R project.
getPercentilePlottingPositions(x, s=NULL, interval=NULL, ppos="beta",
aranks="Johnson", ties="none")Returns a dataframe with the failure data (as potentially reduced by ties argument), the probability plotting positions, and adjusted ranks.
Either a dataframe containing at least $time and $event
columns and optionally a $qty column, or a vector of class "numeric" or "integer" with
(life-)time observations.
An optional vector of suspension data.
reserved argument for interval censored data - NOT YET IMPLEMENTED.
A string defining a plotting position method. Implemented options include "beta" the incomplete beta function (as default), "Benard", "mean" also known as Herd-Johnson, "Hazen" or modified Kaplan-Meier, "Kaplan-Meier" with modification for final complete failure, and "Blom.
A string defining the method for establishing adjusted ranks when suspension data (right censored) are present. Implemented options include "Johnson" (as default) and "KMestimator"
A string defining a method of eliminating ties, or duplicate time valued data, from plotting. Implemented options include "highest" (used as 'Inspection Option #1' by Abernethy), "mean", "lowest", and "sequential".
Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"
Leonard C. Johnson (1964) "The Statistical Treatment of Fatigue Experiments"
failures<-c(90,96,30,49,82)
suspensions<-c(100,45,10)
median_percentile_ranks<-getPPP(failures,suspensions)[,2]
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