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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] 64      0.025   0.01    <=0.001 16      64      0.025   0.125   1      
#> [10] 0.025   16      0.5     >=256   2       64      32      4       0.005  
#> [19] 0.125   128     0.5     8       0.25    0.002   0.005  
random_disk(25)
#> Class 'disk'
#>  [1] 20 15 10 41 49 47 42 39  8 46 10  7 17 10 27 22 27 23 11  9 36 14 29 26 16
random_sir(25)
#> Class 'sir'
#>  [1] S I R I S I S R R I I I S I I R S I R R R R 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] 0.125  0.005  0.25   0.0625 0.001  0.5    16     0.25   0.0625 0.001 
#> [11] 0.001  0.001  0.25   2      0.0625 32     4      0.125  0.0625 64    
#> [21] 32     >=128  0.125  0.0625 64    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=16 >=16 1    >=16 2    1    1    1    1    2    8    >=16 2    8    2   
#> [16] 2    4    8    >=16 8    2    4    8    2    8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      1      0.25   1      2      2      4      0.0625 0.5    0.0625
#> [11] 2      0.25   0.25   4      1      0.125  1      0.0625 0.125  0.0625
#> [21] 2      0.5    0.0625 0.5    0.5   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 12 17 49  8 49 22 13 47 28 44 43 20 23 45 41 39 50 30 45 48 16 15 40 34 47
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 17 11 16 12 15 16 16 16 13 12 11 12 16 15 14 16 12 15 13 11 11 17 14 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 17 24 23 17 20 20 19 22 24 25 20 23 21 21 24 18 21 24 17 21 27 21 16 16
# }