deff.sigma {hbim} | R Documentation |
These 6 data sets were calculated using the associated function. For example, deff.sigma
was calculated with
eff.sigma
. The 3 data sets that begin with deff, give the expected efficacy for several values of mu.
The 3 data sets that begin with dpp give the percent protected with several values of mu. The data sets that end in .sigma change
for different values of sigma, and similarly for .mu and .rho (see deff.sigma
).
data(deff.sigma) data(deff.mu) data(deff.rho) data(dpp.sigma) data(dpp.mu) data(dpp.rho)
The format is: List of 8
## here is the code that produces the 6 data sets, it takes about 25 hours to run ## so it is commented out here #NSIM<-5*10^5 #SIGMAS.POWER<-c(9,65,5000) #SIGMAS<-log10(SIGMAS.POWER)/(2*qnorm(.975)) #SCOLORS<-c("green","blue","red") #FACTORS<-c(1/10, 1/3, 1/2, 1) #FCOLORS<-c("red", "green", "blue", "black") #RHOS<-c(-.5,-.25,0, 0.25, 0.5, 0.75, 1) #RCOLORS<- c("black","tan","yellow","blue", "green", "red", "black") #set.seed(1234521) #MU<-((-40:40)/10) #deff.sigma<-eff.sigma(mu=MU, sigmas=SIGMAS, COLORS = SCOLORS, rho = 0) #deff.mu<-eff.mu(mu=MU, factor = FACTORS, COLORS = FCOLORS, sigma = SIGMAS[2], rho = 0) #deff.rho<-eff.rho(mu=MU, sigma = SIGMAS[2], rho = RHOS, COLORS =RCOLORS,simulate=TRUE,nsim=NSIM) #set.seed(32401) #dpp.sigma<-pp.sigma(MU,sigmas=SIGMAS,COLORS = SCOLORS, rho = 0,nsim=NSIM) #set.seed(21345123) #dpp.mu<-pp.mu(MU,factor = FACTORS, COLORS = FCOLORS, sigma = SIGMAS[2], rho = 0, nsim=NSIM) #set.seed(435919) #dpp.rho<-pp.rho(MU,sigma = SIGMAS[2], rho = RHOS, COLORS =RCOLORS,nsim=NSIM)