Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----library, eval=FALSE, message=FALSE, warning=FALSE------------------------
# library(DesignCTPB)
## ----alpha_split, message=FALSE, warning=FALSE, eval=FALSE--------------------
# alpha.split()# the default setting will give an optimal results of 3-dimensional case
## ----visulization, eval=FALSE, warning=FALSE----------------------------------
# res <- designCTPB(m=24, n_dim=3, sd_full=1/sqrt(20),delta_linear_bd=c(0.2,0.8))
# res$plot_alpha # to see the 3-d rotatable plot of optimal alpha versus r2 and r3.
# res$plot_power # to see the 3-d rotatable plot of optimal power versus r2 and r3.
# res$opt_r_split
# res$opt_alpha_split
# res$opt_power
## -----------------------------------------------------------------------------
data(ctpbw, package = "DesignCTPB")
## ----warning=FALSE------------------------------------------------------------
#optimal choice of each population's proportion
ctpbw$opt_r_split
## -----------------------------------------------------------------------------
#the optimal power of the optimal design
ctpbw$opt_power
## -----------------------------------------------------------------------------
#the optimal alpha split of the optimal design
ctpbw$opt_alpha_split
## ----warning=FALSE, eval=FALSE------------------------------------------------
# alpha.split(r=c(1,0.303),N3=100,sd_full=1/sqrt(20),delta_linear_bd = c(0.2,0.3))
## ----eval=FALSE, warning=FALSE------------------------------------------------
# r2 <- seq(0.025,1,by=0.025)
# res_2dim <- matrix(rep(0,3*length(r2)), ncol=3)
# for(ii in 1:length(r2)){
# res_2dim[ii,] <- alpha.split(r=c(1,r2[ii]),N3=100,sd_full=1/sqrt(20),delta_linear_bd = c(0.2,0.3))
# }
## ----eval=FALSE, warning=FALSE------------------------------------------------
# power_value <- res[,3]
# opt_r2 <- r2[which.max(power_value)]
# opt_alpha <- res[which.max(power_value),1:2]
# opt_r2
# opt_alpha
## -----------------------------------------------------------------------------
data(ctpbs, package = "DesignCTPB")
## -----------------------------------------------------------------------------
#the optimal power of the optimal design
ctpbs$opt_power
## -----------------------------------------------------------------------------
#the optimal alpha split of the optimal design
ctpbs$opt_alpha_split
## ----warning=FALSE------------------------------------------------------------
#optimal choice of each population's proportion
ctpbs$opt_r_split
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