Vectors Representing Random Variables

Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for analysing output from a simulation or a Bayesian analysis.

rvec

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.

Installation

install.packages(rvec)

Example

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 1000.5

Other packages for working with random draws

• rv
• posterior