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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] 4       32      >=128   0.01    0.002   64      0.5     0.125   0.25   
#> [10] 0.01    0.01    1       0.125   0.25    64      16      2       0.0625 
#> [19] 0.125   0.25    0.005   0.002   0.005   <=0.001 >=128  
random_disk(25)
#> Class 'disk'
#>  [1] 32 13 27 48 48 41 19  8 40 46 25 43  7 35 15 21 43 24 22 42 48 43 25 16 43
random_sir(25)
#> Class 'sir'
#>  [1] R I I S R R R I R I R R S I S R S I I I I S I S 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] 0.5    0.125  4      >=256  1      0.0625 4      0.025  4      >=256 
#> [11] 0.025  0.01   16     0.005  16     0.002  0.125  0.005  0.001  4     
#> [21] 0.001  8      0.125  >=256  0.125 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=0.5 16    4     1     <=0.5 2     <=0.5 4     1     4     <=0.5 16   
#> [13] 8     8     16    8     1     8     32    <=0.5 1     32    <=0.5 16   
#> [25] 16   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.25     <=0.0625 0.125    4        >=16     <=0.0625 4        <=0.0625
#>  [9] 8        <=0.0625 1        0.125    0.5      4        2        0.125   
#> [17] 4        >=16     0.5      0.5      0.5      1        8        1       
#> [25] 1       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 38 39 25 42 14 43 18 25 41 14 24 19 45 27 44 40 46 12 50 40  8 45 12 46 29
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 17 12 17 12 15 16 15 12 13 15 16 14 16 16 17 15 16 14 17 14 15 17 16 17 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 25 23 16 25 27 22 16 27 16 24 18 25 20 20 19 22 20 26 24 15 17 20 17 26
# }