Skip to contents

These functions can be used for generating random MIC values and disk diffusion diameters, for AMR data analysis practice. By providing a microorganism and antimicrobial drug, the generated results will reflect reality as much as possible.

Usage

random_mic(size = NULL, mo = NULL, ab = NULL, ...)

random_disk(size = NULL, mo = NULL, ab = NULL, ...)

random_rsi(size = NULL, prob_RSI = c(0.33, 0.33, 0.33), ...)

Arguments

size

desired size of the returned vector. If used in a data.frame call or dplyr verb, will get the current (group) size if left blank.

mo

any character that can be coerced to a valid microorganism code with as.mo()

ab

any character that can be coerced to a valid antimicrobial drug code with as.ab()

...

ignored, only in place to allow future extensions

prob_RSI

a vector of length 3: the probabilities for "R" (1st value), "S" (2nd value) and "I" (3rd value)

Value

class mic for random_mic() (see as.mic()) and class disk for random_disk() (see as.disk())

Details

The base R function sample() is used for generating values.

Generated values are based on the EUCAST 2022 guideline as implemented in the rsi_translation data set. To create specific generated values per bug or drug, set the mo and/or ab argument.

Examples

random_mic(25)
#> Class 'mic'
#>  [1] 2     64    0.025 0.5   0.001 0.001 >=128 >=128 4     0.5   0.002 0.01 
#> [13] 4     32    32    0.125 0.125 0.005 2     16    0.001 0.125 0.002 0.01 
#> [25] 0.01 
random_disk(25)
#> Class 'disk'
#>  [1]  7 27 48 15 19 48 10 49  9 18 37 43 23 37 26 29  6 40 36 19 36 10 33 18 32
random_rsi(25)
#> Class 'rsi'
#>  [1] I R R I S R I I I S S S R S S I S I I R S R I I S

# \donttest{
# make the random generation more realistic by setting a bug and/or drug:
random_mic(25, "Klebsiella pneumoniae") # range 0.0625-64
#> Class 'mic'
#>  [1] 64     0.005  4      4      0.002  0.001  8      64     32     0.005 
#> [11] 1      0.025  0.01   2      0.01   0.5    64     4      8      0.002 
#> [21] 64     0.01   0.005  0.5    0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16   16   1    2    2    16   16   8    2    2    >=32 4    1    4    16  
#> [16] 16   16   2    1    2    16   8    16   2    8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      0.125  8      0.0625 0.025  0.025  0.5    8      0.125  0.5   
#> [11] 8      1      0.5    0.125  1      0.25   8      0.0625 2      2     
#> [21] 0.125  0.0625 1      4      0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 42 27 16 43 29 46 49 22 27  8 36 28 40 44 41  8 12 45 44 42 38 49 24 40 10
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 16 16 11 17 17 14 14 11 13 15 15 12 12 11 12 16 14 17 15 15 14 14 12 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 17 19 26 24 23 23 25 17 27 15 15 26 20 19 26 22 19 18 26 21 20 17 24 23
# }