Tools for working with random draws, including draws from a simulation or Bayesian analysis. The main data structure is an rvec, which holds multiple draws but which behaves (mainly) like a standard R vector.
install.packages("rvec") ## CRAN version
devtools::install_github("bayesiandemography/rvec") ## development version
library(rvec, warn.conflicts = FALSE) library(dplyr, warn.conflicts = FALSE)
Create an rvec.
x <- rvec(rbind(c(10, 11),
c(100, 101),
c(1000, 1001)))
x
#> <rvec_dbl<2>[3]>
#> [1] 10,11 100,101 1000,1001
Perform arithmetic on it.
x + 1 #> <rvec_dbl<2>[3]> #> [1] 11,12 101,102 1001,1002
Put it in a tibble.
df <- tibble(g = c(1, 2, 1), x) df #> # A tibble: 3 × 2 #> g x #> <dbl> <rdbl<2>> #> 1 1 10,11 #> 2 2 100,101 #> 3 1 1000,1001
Manipulate it in a tibble.
df %>% group_by(g) %>% count(wt = x) #> # A tibble: 2 × 2 #> # Groups: g [2] #> g n #> <dbl> <rdbl<2>> #> 1 1 1010,1012 #> 2 2 100,101
Summarise it.
draws_mean(x) #> [1] 10.5 100.5 1000.5Other packages for working with random draws
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