make.ss.ng.ppp: Make singple sample normal-gamma prior posterior plot

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

Make singple sample normal-gamma prior posterior plot

Description

Make singple sample normal-gamma prior posterior plot

Usage

make.ss.ng.ppp(
  mu.0.t = 0,
  n.0.t = 1,
  alpha.0.t = 0.25,
  beta.0.t = 1,
  xbar.t = 1.75,
  s.t = 2,
  n.t = 50,
  gamma.IG.sd.limits = c(as.numeric(trimws(unlist(strsplit("5, 25, 25", ",")))))
)

Arguments

mu.0.t	prior mean
n.0.t	prior effective sample size
alpha.0.t	prior alpha parameter
beta.0.t	prior beta parameter
xbar.t	sample mean for treatment group
s.t	sample sd for treatment group
n.t	sample size for treatment group
gamma.IG.sd.limits	limits used for Precision, Variance and standard deviation visualizers
limits	upper limits used for visualizations

Value

A ggplot object is returned

Examples

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

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