Nothing
exposure.levels <- function( x, rate, intensity.func = intensity.function(), start = 0, end = 1 )
{
if( !inherits(x, "vitd.curve") )
stop("Argument 'x' is not of class 'vitd.curve'")
n <- nrow(x[[2]][[1]]) # gives number of participants in the study
L <- rate * ( 52 / pi ) # 52/pi is one exposure per week
#start <- x$time[1] * (pi/12)
if( end < start ) stop( "End time must be greater than start time" )
num.exposures <- ceiling( 1.5 * L * end * pi ) # simulate a conservative amount to buffer at end
eventtimes <- matrix( rexp( n * num.exposures, rate=L ), ncol=n )
eventtimes <- start*pi + apply( eventtimes, 2, cumsum )
eventtimes[ eventtimes > end*pi ] <- NA
prob.acc <- intensity.func( eventtimes )
U <- runif( n * num.exposures )
Z <- U < prob.acc
eventtimes[ !Z ] <- NA
eventtimes <- t(eventtimes)
mu <- x$curves$mu
amplitude <- x$curves$amplitude
weights <- x$curves$weights
if( x$type == "dynamic-dose" ) thresh <- x$curves$thresh else thresh <- rep(0,n)
eventheights <- event.height.na( thresh, mu, amplitude, eventtimes, x$min.thresh, x$supp.dose, weights )
y <- list( eventtimes, eventheights, x$type )
names( y ) <- c("exposures", "levels", "type")
class( y ) <- "exposure.levels"
return( y )
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.