SingleSampleBinary: Functions to Support the One Sample Binary Scenario

In lylyf1987/GNGpkg:

Description

make.ss.bin.ppp: Make Single Sample Binary Prior/Posterior Plot. Returns a ggplot object.

make.ss.bin.spp: Make Single Sample Binary Shaded Posterior Plot. Returns a graphic built using grid.arrange.

get.ss.bin.trt.oc.df: Get Single Sample Binary Treatment Effect OC. Returns a data.frame.

make.ss.bin.trt.oc1: Make Single Sample Binary Treatment Effect. Returns a graphic built using grid.arrange.

make.ss.bin.trt.oc2: Make Single Sample Binary Treatment Effect. Returns a graphic built using grid.arrange.

get.ss.bin.ssize.oc.df: Get Single Sample Binary sample size OC data.frame. Returns a data.frame.

make.ss.bin.ssize.oc: Make Single Sample Binary Sample size OC plot

Usage

make.ss.bin.ppp(a.trt = 1, b.trt = 1, n.trt = 40, x.trt = 20)

make.ss.bin.spp(
  a.trt = 1,
  b.trt = 1,
  n.trt = 40,
  x.trt = 9,
  Delta.lrv = 0.2,
  Delta.tv = 0.35,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  seed = 1234,
  nlines = 25,
  tsize = 4,
  nlines.ria = 20
)

get.ss.bin.trt.oc.df(
  a.trt = 1,
  b.trt = 1,
  n.trt = 40,
  Delta.tv = 0.35,
  Delta.lrv = 0.2,
  Delta.OC.LB = 0,
  Delta.OC.UB = 0.5,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65
)

make.ss.bin.trt.oc1(
  my.df = get.ss.bin.trt.oc.df(),
  tsize = 4,
  nlines = 25,
  nlines.ria = 20,
  Delta_OC_LB = 0,
  Delta_OC_UB = 0.41
)

make.ss.bin.trt.oc2(
  my.df = get.ss.bin.trt.oc.df(),
  tsize = 4,
  nlines = 25,
  nlines.ria = 20,
  ud.low = 0,
  ud.upp = 1
)

get.ss.bin.df(
  a.trt = seq(0.5, 1, 0.5),
  b.trt = seq(0.5, 1, 0.5),
  beta.mean = seq(0.3, 0.7, 0.01),
  eff.ss = 1:40,
  x.trt = 0:80,
  n.trt = c(40:80),
  Delta.tv = 0.4,
  Delta.lrv = 0.3,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  rp = FALSE
)

get.ss.bin.ssize.oc.df(
  a.trt = 1,
  b.trt = 1,
  n.trt = 40,
  Delta.lrv = 0.35,
  Delta.tv = 0.35,
  Delta.user = 0.4,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  ulow = 20,
  uupp = 60
)

make.ss.bin.ssize.oc(
  for.plot = get.ss.bin.ssize.oc.df(),
  nlines = 25,
  tsize = 4
)

Arguments

a.trt	prior alpha parameter
b.trt	prior beta parameter
n.trt	observed sample size
x.trt	observed number of responders
Delta.lrv	TPP Lower Reference Value aka Min TPP
Delta.tv	TPP Target Value aka Base TPP
tau.tv	threshold associated with Base TPP
tau.lrv	threshold associated with Min TPP
tau.ng	threshold associated with No-Go
seed	random seed
nlines	Control for text spacing
tsize	Control for text size
nlines.ria	Control for text spacing
my.df	data.frame returned by get.ss.bin.trt.oc.df
Delta_OC_LB	treatment effect lower bound
Delta_OC_UB	treatment effect upper bound
beta.mean	range of values for prior mean
eff.ss	range of values for effective sample size
ulow	lower sample size value
uupp	upper sample size value
for.plot	data.frame from get.ss.bin.ssize.oc.df

Examples

## Not run: 
make.ss.bin.ppp()
make.ss.bin.spp()
get.ss.bin.trt.oc.df()
make.ss.bin.trt.oc1()
make.ss.bin.trt.oc2()
get.ss.bin.ssize.oc.df()
make.ss.bin.ssize.oc()

## End(Not run)

lylyf1987/GNGpkg documentation built on May 19, 2020, 12:07 a.m.