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 2024 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] 0.025   2       0.25    8       4       >=256   64      0.125   1      
#> [10] 16      2       0.025   8       32      <=0.001 4       2       128    
#> [19] 0.125   4       0.01    >=256   0.25    0.25    1      
random_disk(25)
#> Class 'disk'
#>  [1] 48  8  6 21  6 34 30 30 42 26 10 41 26 22 46 19 16 38 34 12 50 42 45 42 44
random_sir(25)
#> Class 'sir'
#>  [1] I R R S R I I R R R R R R I R S S S I I S S R R R

# \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] 1     16    0.025 0.001 4     4     0.125 0.002 2     0.25  0.25  64   
#> [13] 0.5   0.005 256   8     0.125 16    0.005 0.001 64    0.5   8     64   
#> [25] 0.001
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4      8      2      >=16   <=0.25 <=0.25 >=16   1      1      0.5   
#> [11] 8      <=0.25 2      0.5    2      <=0.25 1      4      1      <=0.25
#> [21] >=16   4      2      1      <=0.25
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2       8       0.0625  0.0625  0.0625  4       <=0.025 0.125   8      
#> [10] 8       0.25    0.25    0.125   <=0.025 0.25    <=0.025 0.0625  2      
#> [19] <=0.025 8       4       4       <=0.025 8       8      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1]  8 24 46 50 48 11 23 30 47 33 21 43 17 16 48 16 39 38 16 49 33 47 14 18 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 13 15 14 12 16 15 16 13 13 12 13 12 11 16 17 11 17 11 14 12 14 11 12 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 20 18 24 24 17 18 26 24 26 24 20 20 26 24 19 15 17 17 24 20 17 22 22 19 15
# }