GNGTools (version 1.0.0)

make.ts.ng.ppp: 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)
)

Value

a ggplot object is returned

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

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]]