multiple.mleprobplot: Title

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Title

Usage

multiple.mleprobplot(
  data.list,
  data.ld.name,
  distribution,
  distribution.vec = rep(distribution, length = length(data.list)),
  xlab,
  ylab = GetSMRDDefault("SMRD.LabelOnYaxis"),
  conf.level = GetSMRDDefault("SMRD.ConfLevel")/100,
  check.level = SMRDOptions("SMRD.DataCheck"),
  xlim = c(NA, NA),
  ylim = c(NA, NA),
  time.range = c(NA, NA),
  dump = 1,
  grids = F,
  my.title = NULL,
  cex = 1.2,
  linear.axes = F,
  slope.axis = F,
  pch = (1:(length(do.list) + 1))[-2],
  lty = rep(1, length(do.list)),
  ci.list = NULL,
  lwd = rep(2, length(do.list)),
  trunc.correct = T,
  col.fhat.vec = (1:(length(do.list) + length(col.ci)))[-col.ci],
  col.ci = 4,
  shape = NULL,
  do.legend = NULL,
  add.title = NULL,
  do.list = names(data.list),
  plotem = rep(T, length(do.list)),
  plot.censored.ticks = F,
  ylim.data = NULL,
  plot.np = T,
  plot.frame = T,
  debug1 = F,
  mar = c(5, 4, 4, 2) + 0.1,
  bty = "o",
  ...
)

Arguments

data.list
data.ld.name
distribution
distribution.vec
xlab
ylab
conf.level
check.level
xlim
ylim
time.range
dump
grids
my.title
cex
linear.axes
slope.axis
pch
lty
ci.list
lwd
trunc.correct
col.fhat.vec
col.ci
shape
do.legend
add.title
do.list
plotem
plot.censored.ticks
ylim.data
plot.np
plot.frame
debug1
...

Examples

## Not run: 

ShockAbsorber.ld <- frame.to.ld(shockabsorber,
                                response.column = 1,
                                failure.mode.column = 2,
                                censor.column = 3, 
                                time.units = "Kilometers")
summary(ShockAbsorber.ld)
event.plot(ShockAbsorber.ld)

# Split out by failure mode

mleprobplot(ShockAbsorber.ld, 
            distribution = "Weibull")

mfmi.mleprobplot(ShockAbsorber.ld, 
                 distribution = "Weibull")

mfmc.mleprobplot(ShockAbsorber.ld, 
                 distribution = "Weibull")
                 
ShockAbsorber.mfld <- mfm.to.ld(ShockAbsorber.ld)

multiple.mleprobplot(ShockAbsorber.mfld,
                     data.ld.name="xx",
                     xlab="yy",
                     distribution="Weibull")

mleprobplot(ShockAbsorber.Mode1.ld, 
            distribution = "Weibull")

mleprobplot(ShockAbsorber.Mode2.ld,
            distribution = "Weibull")

get.time.vector(ShockAbsorber.Mode2.ld)

## End(Not run)

Auburngrads/SMRD documentation built on Sept. 14, 2020, 2:21 a.m.