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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] 8       1       32      8       32      0.0625  8       2       <=0.001
#> [10] 0.125   <=0.001 64      64      16      4       <=0.001 64      256    
#> [19] 0.25    1       0.002   0.25    256     0.0625  0.0625 
random_disk(25)
#> Class 'disk'
#>  [1] 40 47 29 40 17  8 22 45 49 26 35  9 50 48 31 18 47 43 41 45 47 29 10 49 49
random_sir(25)
#> Class 'sir'
#>  [1] I R R S I I S R I R S S S S R I I R R S I I R R 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] 16     0.005  64     2      0.5    0.25   2      0.001  0.01   256   
#> [11] 128    1      16     0.5    0.0625 0.25   256    1      64     4     
#> [21] 8      64     32     0.001  0.001 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 1      64     2      4      1      <=0.25 32     1      8      16    
#> [11] 32     32     4      2      0.5    2      32     32     2      0.5   
#> [21] 1      8      2      16     32    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 4        0.25     >=16     <=0.0625 2        2        8        0.25    
#>  [9] 1        0.25     4        <=0.0625 2        2        4        >=16    
#> [17] 0.5      2        4        0.125    0.25     4        0.125    0.25    
#> [25] 1       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 43 43 40 48 24 23 43 21 33 10 16 45 18 30 50 39 23 48 44 16 41 15 50 43 35
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 16 15 13 17 16 16 14 13 11 16 11 15 11 15 15 11 13 12 15 17 12 11 13 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 23 27 15 19 19 18 18 22 22 21 23 27 18 27 23 25 15 26 22 20 24 16 26 19 17
# }