Prepare an object

Converts a named vector, list, or data frame to a list, and optionally unboxes it, so that its recorded as an object.

Usage

prep_object(x, unbox = FALSE)

Arguments

x

named vector, list, or data frame

unbox

logical Should items be unboxed (not arrays)?

Value

List of formatted objects

Details

Note that unboxing will only work on items where you have 1:1 key value pair. So if you have a dataframe with multiple rows or a list with multiple values at a given position, it won't work.

Examples

cars_small  <- datasets::cars[1:10,]

# creates an array of objects where each
# row is an object
cars_small |>
  jsonlite::toJSON(pretty = TRUE)
#> [
#>   {
#>     "speed": 4,
#>     "dist": 2
#>   },
#>   {
#>     "speed": 4,
#>     "dist": 10
#>   },
#>   {
#>     "speed": 7,
#>     "dist": 4
#>   },
#>   {
#>     "speed": 7,
#>     "dist": 22
#>   },
#>   {
#>     "speed": 8,
#>     "dist": 16
#>   },
#>   {
#>     "speed": 9,
#>     "dist": 10
#>   },
#>   {
#>     "speed": 10,
#>     "dist": 18
#>   },
#>   {
#>     "speed": 10,
#>     "dist": 26
#>   },
#>   {
#>     "speed": 10,
#>     "dist": 34
#>   },
#>   {
#>     "speed": 11,
#>     "dist": 17
#>   }
#> ] 

# creates an object with 2 arrays
prep_object(cars_small) |>
  jsonlite::toJSON(pretty = TRUE)
#> {
#>   "speed": [4, 4, 7, 7, 8, 9, 10, 10, 10, 11],
#>   "dist": [2, 10, 4, 22, 16, 10, 18, 26, 34, 17]
#> } 

# this makes no difference
x <- list("hello" = 1:10, "world" = "Earth")

prep_object(x) |>
  jsonlite::toJSON(pretty = TRUE)
#> {
#>   "hello": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
#>   "world": ["Earth"]
#> }