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GNGTools (version 1.0.0)

make.ss.ng.ppp: 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", ",")))))
)

Value

A ggplot object is returned

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

Examples

Run this code
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]]

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