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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       0.002   0.005   64      8       64      4       0.005   0.0625 
#> [10] 256     <=0.001 0.025   0.005   8       128     64      0.5     0.01   
#> [19] 128     32      256     16      0.025   0.025   2      
random_disk(25)
#> Class 'disk'
#>  [1] 10 46 26 42 41 24 40  9 42 19 41  9 37 18 21 49  6 43 27 43 43 47 23 43 43
random_sir(25)
#> Class 'sir'
#>  [1] S I I I R I I I S S R S I S I S R I S S S I I 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] 0.5   1     8     0.25  0.002 8     1     8     4     0.01  0.002 >=128
#> [13] 4     >=128 2     >=128 32    64    0.25  0.001 16    2     0.01  0.002
#> [25] 64   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=0.5 4     16    <=0.5 4     2     4     1     <=0.5 <=0.5 32    <=0.5
#> [13] 4     4     8     4     16    1     4     4     16    32    32    2    
#> [25] 32   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2       2       1       >=8     0.5     1       4       2       2      
#> [10] <=0.125 >=8     4       0.25    <=0.125 0.25    <=0.125 1       4      
#> [19] <=0.125 >=8     4       <=0.125 0.25    1       0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 33 42 11 29 50  9 21 21 40 33 49 16 49 27 12 14 40 47 44  8 43 29 48 33 44
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 11 16 11 15 17 15 16 14 17 11 12 11 17 13 13 12 16 16 16 13 12 11 13 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 21 24 21 20 26 24 18 25 19 25 20 19 23 16 21 20 18 18 19 17 16 17 21 18 27
# }