groupi.Dest.Degrad.indivplots: Title

In Auburngrads/SMRD: Statistical Methods For Reliability Data

Description

Title

Usage

groupi.Dest.Degrad.indivplots(
  data.ddd,
  distribution,
  transformation.response = "log",
  transformation.time = "linear",
  ylim = c(NA, NA),
  xlim = c(NA, NA),
  my.title = NULL,
  ylab = NULL,
  xlab = NULL,
  cex = 0.5,
  cex.labs = 1,
  cex.points = 1,
  cex.tic.lab = 1,
  add = F,
  grids = F,
  title.option = NULL,
  pch.point = NULL,
  response.on.yaxis = T,
  group.var = 1:ncol(xmat(data.ddd)),
  subset = T,
  fail.level = NULL,
  plot.lines = T,
  do.legend = "On plot"
)

Arguments

data.ddd
distribution
transformation.response
transformation.time
ylim
xlim
my.title
ylab
xlab
cex
cex.labs
cex.points
cex.tic.lab
add
grids
title.option
pch.point
response.on.yaxis
group.var
subset
fail.level
plot.lines
do.legend

Examples

## Not run: 

InsulationBrkdwn.ddd <- frame.to.ddd(insulationbrkdwn,
                                     response.column = 3, 
                                     time.column = 1,
                                     x.columns = 2,
                                     data.title = "Voltage Breakdown Data",
                                     response.units = "Volts",
                                     time.units = "Weeks")

print(InsulationBrkdwn.ddd)

plot(InsulationBrkdwn.ddd,
     transformation.Response = "log",
     transformation.time = "linear")

tmp <- groupi.Dest.Degrad.indivplots(InsulationBrkdwn.ddd,
                                     transformation.Response = "log", 
                                     transformation.time = "linear",
                                     distribution = "normal")

groupi.Dest.Degrad.oneplot(InsulationBrkdwn.ddd,
                           transformation.Response = "log", 
                           transformation.time = "linear",
                           distribution="normal")
                           
groupm.Dest.Degrad(InsulationBrkdwn.ddd, 
                   distribution = "normal",
                   transformation.Response = "log10",
                   transformation.x = "invtemp",
                   transformation.time = "linear")

groupm.Dest.Degrad(InsulationBrkdwn.ddd, 
                   distribution = "normal",
                   transformation.Response = "log",
                   transformation.x = "arrhenius",
                   transformation.time="linear")

# Do individual analyses at each level of temperature

InsulationBrkdwn.groupi.Dest.Degrad <-groupi.Dest.Degrad(InsulationBrkdwn.ddd,
                                                         distribution = "normal",
                                                         transformation.Response = "log", 
                                                         transformation.time = "sqrt")

plot(InsulationBrkdwn.groupi.Dest.Degrad,
     transformation.x = "Arrhenius")

InsulationBrkdwn.groupm.Dest.Degrad <-groupm.Dest.Degrad(InsulationBrkdwn.ddd,
                                                         distribution = "normal", 
                                                         transformation.Response = "log",
                                                         transformation.x = "arrhenius", 
                                                         transformation.time = "sqrt")

InsulationBrkdwn.groupm.Dest.Degrad<-groupm.Dest.Degrad(InsulationBrkdwn.ddd,
                                                        distribution = "normal",
                                                        transformation.Response = "log",
                                                        transformation.x = "arrhenius",
                                                        transformation.time = "sqrt",
                                                        new.data = c("150,260"))


## End(Not run)

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