Description Usage Arguments Value Examples
Random generation for a specified distribution
1 |
dist |
character string, specification of the distribution of interest using the abbreviations from |
n |
number of random values to return |
arg_list |
list, alternative to directly using the names of the arguments for the distribution of choice, the user can provide a list with those arguments enclosed. This is useful for when multiple distributions need to be drawn from. |
lookup_verbose |
logical, whether to print the abbreviated name found in the dist_lookup_table |
... |
arguments specific to the distribution of interest (e.g. the "binom" distribution requires arguments for size and prob) |
a numeric vector representing a random draw from the distribution of interest
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ## create a function that adds two distributions together
two_dist_sum <- function(n_sims, dist1, dist1_args, dist2, dist2_args){
x1 <- rdist(dist1, n=n_sims, arg_list=dist1_args)
x2 <- rdist(dist2, n=n_sims, arg_list=dist2_args)
return(x1+x2)
}
## use distribution to find time from exposure to covid-19 to hospitalization
## using log-normal incubation time from Lauer, Grantz, et al.
## and time from onset to hospitalization from Bi et al.
x <- two_dist_sum(n=1000,
dist1="lnorm",
dist1_args=list(meanlog=1.621,
sdlog=0.418),
dist2="lnorm",
dist2_args=list(meanlog=1.23,
sdlog=0.79))
summary(x)
## now change incubation time to gamma distribution from Lauer, Grantz, et al.
x_gamma <- two_dist_sum(n_sims=1000,
dist1="gamma",
dist1_args=list(shape=5.807,
scale=0.948),
dist2="lnorm",
dist2_args=list(meanlog=1.23,
sdlog=0.79))
summary(x_gamma)
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