Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(comment = "#>", collapse = TRUE)
## -----------------------------------------------------------------------------
library(smovie)
## ----eval = FALSE-------------------------------------------------------------
# movies()
## ----eval = FALSE-------------------------------------------------------------
# discrete(distn = "binomial")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("binom.PNG")
## ----eval = FALSE-------------------------------------------------------------
# continuous(distn = "gamma")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("gamma.PNG")
## ----eval = FALSE-------------------------------------------------------------
# clt(distn = "exponential")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("clt_exp.PNG")
## ----eval = FALSE-------------------------------------------------------------
# clt(distn = "poisson")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("clt_poisson.PNG")
## ----eval = FALSE-------------------------------------------------------------
# cltq(distn = "gamma")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("cltq_gamma.PNG")
## ----eval = FALSE-------------------------------------------------------------
# ett(distn = "exponential")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("ett.PNG")
## ----eval = FALSE-------------------------------------------------------------
# mean_vs_median()
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("mean_vs_median_normal.PNG")
## ----eval = FALSE-------------------------------------------------------------
# mean_vs_median(t_df = 2)
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("mean_vs_median_t2.PNG")
## ----eval = FALSE-------------------------------------------------------------
# correlation(rho = 0.8, n = 30)
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("correlation1.PNG")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("correlation2.PNG")
## ----eval = FALSE-------------------------------------------------------------
# lev_inf()
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("lev_inf_1.PNG")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("lev_inf_2.PNG")
## ----eval = FALSE-------------------------------------------------------------
# wws(theta0 = 0.5, model = "binom", data = c(7, 13))
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("wws.PNG")
## ----eval = FALSE-------------------------------------------------------------
# # 1. Change a (for fixed n) to achieve alpha <= 0.05
# # 2. Change a and n to achieve alpha <= 0.05 and beta <= 0.1
# shypo(mu0 = 0, eff = 5, n = 16, a = 2.3, delta_a = 0.01)
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("shypo1.PNG")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("shypo2.PNG")
## ----echo = FALSE, fig.align = 'center', out.width = "600px"------------------
knitr::include_graphics("shypo3.PNG")
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