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_sir(size = NULL, prob_SIR = 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_SIR

a vector of length 3: the probabilities for "S" (1st value), "I" (2nd value) and "R" (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 clinical_breakpoints 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] 0.01   0.002  4      0.125  0.25   0.25   4      1      1      0.125 
#> [11] 1      64     2      0.005  0.005  0.25   0.002  0.005  0.25   0.0625
#> [21] 1      256    64     0.005  0.5   
random_disk(25)
#> Class 'disk'
#>  [1] 20 44 20 18  7 41 37 11 47 40 41 49 38 12 34 33 20 22 32 27 35 48 48 24 40
random_sir(25)
#> Class 'sir'
#>  [1] R I I R S I R R R S I S I I I S R S R S I S R R 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] >=32   0.002  0.25   0.001  4      1      0.25   0.005  0.025  0.025 
#> [11] 0.5    16     0.25   0.001  4      0.025  0.0625 0.5    8      4     
#> [21] 1      0.002  8      0.5    0.001 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    >=32 8    >=32 16   >=32 16   4    1    2    16   1    1    >=32 >=32
#> [16] 16   >=32 1    >=32 >=32 8    1    16   4    16  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.125 8       <=0.125 2       1       1       0.25    1       8      
#> [10] <=0.125 2       2       1       0.25    1       4       1       0.25   
#> [19] <=0.125 0.5     <=0.125 2       0.25    2       8      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 49 18 23 28 48 32  8 40 13 41 15 47 24 10 42 41 33 33 23 49 49 30 22 49 48
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 14 13 17 14 11 13 17 16 16 12 13 13 17 14 16 15 14 17 15 12 15 12 13 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 25 26 18 15 19 26 18 26 20 21 23 23 27 26 26 18 27 27 22 26 16 25 15 19
# }