R/legendconf.R

In abremout: Output functions for the Abernethy Reliability Methods package (abrem), including plotting.

# R package 'abremout'
# output methods for the abrem object
# May 2013, Jurgen Symynck
# Copyright 2013, Jurgen Symynck
#
# For the latest version of this file, check the Subversion repository at
# http://r-forge.r-project.org/projects/abernethy/
#
# Disclaimer:
#    The author is not affiliated with Dr. Abernethy or Wes Fulton - CEO of
#    Fulton Findings(TM) and author of the software package SuperSMITH
#-------------------------------------------------------------------------------
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU General Public License as published by
#    the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU General Public License for more details.
#
#    You should have received a copy of the GNU General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
#    For more info on this software and its predecesser, the "weibulltoolkit",
#    consult following documents:
#
#    - "Weibull analysis using R, in a nutshell",
#      (Jurgen Symynck, Filip De Bal, 2010)
#    - "Monte Carlo pivotal confidence bounds for Weibull analysis
#      with implementations in R",
#      (Jurgen Symynck, Filip De Bal, 2011)
#
# +-----------------------------------+
# |  execute this program with R:     |
# |  http://www.r-project.org/        |
# +-----------------------------------+
#
legendconf <- function(fit,conftype,opa,opp){
    if(!is.null(fit$options.abremplot)){
        oppfit <- modifyList(opp,fit$options.abremplot)
    }else{oppfit <- opp}
    #opafit <- modifyList(opa,fit$options.abremplot)
    if(identical(tolower(conftype),"blives")){
        if(!is.null(fit$conf$blives)){
            fun0 <- function(blicon){
                le <- list()
                le[[1]] <- paste0(conftype,", type = ",
                    ifelse(is.null(blicon$type),"NA",
                        paste0("\"",blicon$type,"\"")))
                le[[2]] <- paste0("  CL = ",
                    ifelse(is.null(blicon$cl),"NA",
                        paste0(signif(blicon$cl*100,4)," [%]")),
                    ifelse(is.null(blicon$S),"",
                        paste0(", S = ",blicon$S)))
                params <- unlist(list(beta=fit$beta,eta=fit$eta,lambda=fit$lambda,
                    meanlog=fit$meanlog,sdlog=fit$sdlog,rate=fit$rate))
                le[[3]] <- lapply(opa$blives,Blifestring,blicon,opp$signif,params)
                na.omit(unlist(le))
            }
            lapply(fit$conf$blives,fun0)
        }else{NA}
    }
#    NA
}