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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    16      0.25    0.5     16      2       0.125   0.125   0.125  
#> [10] 0.125   0.0625  16      <=0.001 <=0.001 >=64    32      0.01    4      
#> [19] 1       >=64    0.005   4       1       0.01    32     
random_disk(25)
#> Class 'disk'
#>  [1] 38 25 43  6 40 45 43 47 21 21 35 44 19 41 11 20 25 39 16 47 35 49 40 12  6
random_sir(25)
#> Class 'sir'
#>  [1] R I R I S R S I R I S R R S R R R I I S S R S I 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] 0.125 128   4     0.001 0.002 128   0.01  0.025 0.002 0.005 2     16   
#> [13] 8     0.025 0.002 4     1     0.5   16    0.005 64    1     16    4    
#> [25] 0.5  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    8    4    4    2    >=16 8    >=16 4    8    2    2    <=1  4    <=1 
#> [16] <=1  <=1  8    4    >=16 >=16 2    <=1  8    2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4      0.25   4      0.025  0.5    2      >=8    4      0.5    1     
#> [11] 0.25   0.025  >=8    0.5    0.5    0.025  0.125  0.0625 1      0.25  
#> [21] 0.25   4      1      1      0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 38 20 33 33 26 20 49 22 12 42 40 29 45 42 48 30 50 37 21 27 50 50 43 49 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 13 13 16 16 11 12 15 14 11 14 15 11 12 11 13 15 13 17 17 16 11 13 11 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 16 21 16 18 26 19 21 19 18 16 19 17 18 19 21 18 23 26 25 18 19 24 23 22
# }