make.ts.ng.ppp: Make two-sample normal-gamma prior/posterior plot

In GNGTools: Tools for Go/No-Go Decision-Making Framework

Make two-sample normal-gamma prior/posterior plot

Description

Make two-sample normal-gamma prior/posterior plot

Usage

make.ts.ng.ppp(
  mu.0.c = 0,
  alpha.0.c = 2.5,
  beta.0.c = 10,
  n.0.c = 10,
  mu.0.t = 0,
  alpha.0.t = 0.25,
  beta.0.t = 1,
  n.0.t = 1e-04,
  xbar.c = 0.25,
  s.c = 1.5,
  n.c = 55,
  xbar.t = 2.5,
  s.t = 1.5,
  n.t = 55,
  limits = c(5, 25, 10)
)

Arguments

mu.0.c	prior mean for control group
alpha.0.c	prior alpha parameter for control group
beta.0.c	prior beta parameter for control group
n.0.c	prior effective sample size parameter for control group
mu.0.t	prior mean for treatment group
alpha.0.t	prior alpha parameter for treatment group
beta.0.t	prior beta parameter for treatment group
n.0.t	prior effective sample size parameter for treatment group
xbar.c	control mean
s.c	control sd
n.c	control sample size
xbar.t	treatment mean
s.t	treatment sd
n.t	treatment sample size
limits	limits for visualizing precision, variance, standard deviation

Value

a ggplot object is returned

Examples

my.ts.ng.ppp <- make.ts.ng.ppp()
my.ts.ng.ppp[[1]][[1]]
my.ts.ng.ppp[[1]][[2]]
my.ts.ng.ppp[[1]][[3]]
my.ts.ng.ppp[[1]][[4]]
gridExtra::grid.arrange(my.ts.ng.ppp[[1]][[1]], my.ts.ng.ppp[[1]][[3]],
my.ts.ng.ppp[[1]][[2]], my.ts.ng.ppp[[1]][[4]])
my.ts.ng.ppp[[2]]
my.ts.ng.ppp[[3]]
my.ts.ng.ppp[[4]]
my.ts.ng.ppp[[5]]
my.ts.ng.ppp[[6]]
my.ts.ng.ppp[[7]]

GNGTools documentation built on Dec. 16, 2022, 5:09 p.m.