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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 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] 0.025   0.025   0.125   8       0.25    0.0625  16      8       32     
#> [10] 0.5     0.025   <=0.002 128     4       4       0.005   0.125   0.005  
#> [19] 1       >=256   0.025   1       128     <=0.002 8      
random_disk(25)
#> Class 'disk'
#>  [1] 40 10  6 38 23 35 41  6 43 42 36 15  7 47 34 41 42 16  7  9 50 50 36 49 24
random_sir(25)
#> Class 'sir'
#>  [1] S I R R I R R R R S S I R I R I I I R S S I S S I

# \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] <=0.001 2       0.25    0.005   0.01    4       1       >=256   0.025  
#> [10] 128     0.01    0.025   <=0.001 128     <=0.001 >=256   32      64     
#> [19] 0.25    0.005   >=256   64      64      32      4      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16   16   1    4    8    32   32   >=64 >=64 32   16   1    4    32   32  
#> [16] 4    32   4    4    >=64 1    16   16   16   >=64
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=4      2        0.5      >=4      1        0.25     1        1       
#>  [9] 0.25     <=0.0625 0.125    0.25     2        0.25     2        0.125   
#> [17] 0.125    2        >=4      2        0.125    0.5      >=4      <=0.0625
#> [25] >=4     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 21 44 48 15 21 12 34 43 45 20 41 12 45 29 12 47 48 37 27  9 26 49 38 16 16
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 13 17 17 13 15 17 16 11 15 16 16 15 11 16 14 16 17 12 13 17 12 13 16 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 23 25 18 21 20 16 20 21 15 26 25 18 24 17 26 24 24 21 15 18 15 15 16 15
# }