Generate data from a density defined by a vector of integers

Source: R/generate_data.R

Data are generated from an a density defined by a vector of integers

genDataDensity(n, dataDist, varname, uselimits = FALSE, id = "id")

Arguments

n

Number of samples to draw from the density.

dataDist

Vector that defines the desired density

varname

Name of variable name

uselimits

Indicator to use minimum and maximum of input data vector as limits for sampling. Defaults to FALSE, in which case a smoothed density that extends beyond the limits is used.

id

A string specifying the field that serves as the record id. The default field is "id".

Value

A data table with the generated data

Examples

data_dist <- data_dist <- c(1, 2, 2, 3, 4, 4, 4, 5, 6, 6, 7, 7, 7, 8, 9, 10, 10)

genDataDensity(500, data_dist, varname = "x1", id = "id")
#> Key: <id>
#>         id         x1
#>      <int>      <num>
#>   1:     1 -0.5694137
#>   2:     2  4.0542217
#>   3:     3  7.6214794
#>   4:     4  5.7418883
#>   5:     5  8.5160695
#>  ---                 
#> 496:   496  9.3678336
#> 497:   497  4.6014444
#> 498:   498  3.8036096
#> 499:   499  5.1058410
#> 500:   500  9.3376967
genDataDensity(500, data_dist, varname = "x1", uselimits = TRUE, id = "id")
#> Key: <id>
#>         id       x1
#>      <int>    <num>
#>   1:     1 4.790279
#>   2:     2 3.189019
#>   3:     3 7.262826
#>   4:     4 6.379838
#>   5:     5 5.273627
#>  ---               
#> 496:   496 7.036904
#> 497:   497 5.153915
#> 498:   498 4.036004
#> 499:   499 8.700270
#> 500:   500 9.034203