four.groupi.mleprobplot: Title

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Title

Usage

four.groupi.mleprobplot(
  data.ld,
  stresses = get.x.markers(data.ld, group.var = group.var),
  group.var = 1,
  xlab = get.time.units(data.ld),
  ylab = GetSMRDDefault("SMRD.LabelOnYaxis"),
  xlim = c(NA, NA),
  ylim = c(NA, NA),
  time.vector = c(NA, NA),
  dump = 1,
  grids = F,
  my.title = NULL,
  cex = 1.1,
  linear.axes = F,
  title.option = GetSMRDDefault("SMRD.TitleOption"),
  pch = (1:(length(stresses) + 1))[-2],
  lty = 1:length(stresses),
  ci.list = NULL,
  lwd = rep(1, length(stresses)),
  plot.censored.ticks = F,
  trunc.correct = T,
  col.fhat.vec = 1:length(stresses),
  col.ci = 6,
  shape = NULL,
  landscape = F,
  ...
)

Arguments

data.ld
stresses
group.var
xlab
ylab
xlim
ylim
time.vector
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
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)


## End(Not run)

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