four.groupm.mleprobplot: Title

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Title

Usage

four.groupm.mleprobplot(
  data.ld,
  formula = NULL,
  stresses = get.x.markers(data.ld, group.var = group.var),
  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),
  relationship = NULL,
  power = NULL,
  my.title = NULL,
  dump = 0,
  mle.intervals = F,
  cex = 1.1,
  grids = F,
  linear.axes = F,
  title.option = GetSMRDDefault("SMRD.TitleOption"),
  lwd = 2,
  plot.censored.ticks = F,
  time.range = c(NA, NA),
  shape = NULL,
  ci.list = NULL,
  col.ci = 6,
  printem = F,
  trunc.correct = T,
  new.data = NULL,
  plotem = T,
  stresses.limit = 12,
  landscape = F,
  ...
)

Arguments

data.ld
formula
stresses
group.var
xlab
ylab
conf.level
xlim
ylim
relationship
power
my.title
dump
mle.intervals
cex
grids
linear.axes
title.option
lwd
plot.censored.ticks
time.range
shape
ci.list
col.ci
printem
trunc.correct
new.data
plotem
stresses.limit
landscape
...

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)


DeviceA.lognor.groupi <- groupi.mleprobplot(DeviceA.ld, 
                                            distribution = "Lognormal")

summary(DeviceA.lognor.groupi)

failure.probabilities(DeviceA.lognor.groupi)
quantiles(DeviceA.lognor.groupi)

four.groupm.mleprobplot(DeviceA.ld, 
                        relationship = "Arrhenius")


## End(Not run)

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