groupi.mleprobplot: Title

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Title

Usage

groupi.mleprobplot(
  data.ld,
  distribution,
  gamthr = 0,
  stresses = get.x.markers(data.ld, group.var = group.var, do.order = T),
  group.var = 1,
  xlab = get.time.units(data.ld),
  ylab = GetSMRDDefault("SMRD.LabelOnYaxis"),
  conf.level = GetSMRDDefault("SMRD.ConfLevel")/100,
  xlim = c(NA, NA),
  ylim = c(NA, NA),
  time.range = c(NA, NA),
  dump = 1,
  grids = F,
  my.title = NULL,
  cex = 1,
  linear.axes = F,
  title.option = GetSMRDDefault("SMRD.TitleOption"),
  pch = (1:(length(stresses) + 1))[-2],
  lty = NULL,
  ci.list = NULL,
  lwd = rep(2, length(stresses)),
  plot.censored.ticks = F,
  trunc.correct = T,
  col.fhat.vec = (1:(length(stresses) + length(col.ci)))[-col.ci],
  col.ci = 4,
  shape = NULL,
  do.legend = "On plot",
  stresses.limit = 18,
  plotem = rep(T, length(stresses)),
  check.level = SMRDOptions("SMRD.DataCheck"),
  title.line.adj = -2,
  mar = c(4.5, 5.25, 3.5, 12.1),
  bty = if (grids) "o" else "L",
  ...
)

Arguments

data.ld
distribution
gamthr
stresses
group.var
xlab
ylab
conf.level
xlim
ylim
time.range
dump
grids
my.title
cex
linear.axes
title.option
pch
lty
ci.list
lwd
plot.censored.ticks
trunc.correct
col.fhat.vec
col.ci
shape
do.legend
stresses.limit
plotem
check.level
title.line.adj
...

Examples

## Not run: 

DeviceA.ld <- frame.to.ld(devicea, 
                          data.title = "Device-A ALT Results",
                          response.column = 1,
                          time.units = "Hours",
                          censor.column = 2,
                          case.weight.column = 3,
                          x.columns = 4, 
                          xlab = "Degrees C")

print(DeviceA.ld)
summary(DeviceA.ld)

censored.data.plot(DeviceA.ld)

censored.data.plot(DeviceA.ld, 
                   y.axis ="log", 
                   x.axis = "Arrhenius")

groupi.mleprobplot(DeviceA.ld, 
                   distribution = "Weibull")

four.groupi.mleprobplot(DeviceA.ld)

DeviceA.weib.groupi <- groupi.mleprobplot(DeviceA.ld,
                                          distribution = "Weibull")

print(DeviceA.weib.groupi)
summary(DeviceA.weib.groupi)


## End(Not run)

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