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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 agent, 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 agent 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] 4       0.01    <=0.001 0.0625  0.002   0.002   2       32      2      
#> [10] <=0.001 0.002   0.125   16      8       <=0.001 0.002   >=64    0.0625 
#> [19] 8       0.005   0.005   0.25    0.125   2       <=0.001
random_disk(25)
#> Class <disk>
#>  [1] 25 38 46 47 12 49 31  7 28 47 28 22 49 26 50  7 18 48 32 35 20 41 47 49 32
random_rsi(25)
#> Class <rsi>
#>  [1] I R S I I S R R R I R S S I R R S R I R S R R S 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] 0.025   4       1       64      0.125   8       1       32      0.002  
#> [10] 0.002   32      2       0.0625  2       0.125   <=0.001 0.25    0.002  
#> [19] 128     32      0.005   8       16      64      0.025  
random_mic(25, "Klebsiella pneumoniae", "meropenem")    # range 0.0625-16
#> Class <mic>
#>  [1] 2     1     8     1     >=32  >=32  <=0.5 2     16    2     4     <=0.5
#> [13] 16    4     >=32  16    4     8     8     4     >=32  2     16    16   
#> [25] 8    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] >=16    >=16    >=16    0.5     4       1       1       1       0.25   
#> [10] <=0.125 1       8       <=0.125 0.25    >=16    4       0.25    >=16   
#> [19] 0.5     4       2       0.25    8       2       2      

random_disk(25, "Klebsiella pneumoniae")                  # range 8-50
#> Class <disk>
#>  [1] 50 11 47  9 25 21 25 20 11 21 22 48 23 24 37 32 17  9 48 36 20 26 29 31 19
random_disk(25, "Klebsiella pneumoniae", "ampicillin")    # range 11-17
#> Class <disk>
#>  [1] 13 13 11 11 11 12 15 16 11 14 11 16 15 17 12 11 15 15 13 17 16 15 14 13 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 21 15 21 21 27 25 24 26 20 22 26 15 24 23 26 24 18 23 18 23 25 24 23 19 15
# }