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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] 32      0.01    0.005   0.5     0.025   >=256   0.0625  >=256   >=256  
#> [10] 0.25    64      <=0.002 0.025   0.125   128     0.01    0.25    0.25   
#> [19] 1       128     128     0.005   32      0.0625  2      
random_disk(25)
#> Class 'disk'
#>  [1] 19 15 43 41 37 41 46 47 49  9 30 39  8 36  8 19 24 14 25 48 39  7 12  8 49
random_sir(25)
#> Class 'sir'
#>  [1] I S I R R R R R S R S S I R S S R S I S R S S R 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] 0.001 8     1     0.01  0.025 8     64    0.5   0.01  0.002 32    16   
#> [13] 128   0.25  4     0.005 0.025 0.125 256   64    128   32    16    8    
#> [25] 64   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 2    1    0.25 2    32   8    32   16   >=64 0.25 >=64 0.5  2    >=64 16  
#> [16] 0.25 8    8    4    >=64 0.25 2    1    16   0.5 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 8        1        <=0.0625 0.25     >=16     0.5      1        1       
#>  [9] 8        0.5      >=16     1        8        0.5      0.25     4       
#> [17] <=0.0625 4        8        8        2        0.5      1        0.5     
#> [25] 2       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 22 42 48 44 25 31 46 49 21 30 49 22 46 44 21 20 47 33 47 44 45 13 17 24 44
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 17 17 15 16 11 13 11 11 14 14 14 15 15 13 15 17 12 12 17 15 16 17 14 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 19 24 15 18 17 26 18 19 27 27 19 26 25 25 26 24 27 21 15 15 24 16 18 18 20
# }