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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 agent, 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_rsi(size = NULL, prob_RSI = 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 agent code with as.ab()

...

ignored, only in place to allow future extensions

prob_RSI

a vector of length 3: the probabilities for "R" (1st value), "S" (2nd value) and "I" (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 rsi_translation 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      4       0.25    1       8       0.0625  0.025   32      2      
#> [10] 0.5     0.5     0.002   <=0.001 0.025   32      64      64      0.01   
#> [19] 2       0.01    1       1       0.25    0.25    1      
random_disk(25)
#> Class <disk>
#>  [1] 42 21 30 37 26 39 18 43 46 10 39 40 35 45 48 15 21 40 45 42 10  9  6 14 26
random_rsi(25)
#> Class <rsi>
#>  [1] I I S S S R R R S R S I R R R R I I R R S I R 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] 32      0.002   128     0.002   16      0.002   16      128     0.01   
#> [10] <=0.001 0.002   0.25    0.0625  2       0.5     2       16      2      
#> [19] 0.025   1       0.025   128     0.002   0.25    0.0625 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 0.25 0.25 2    0.25 0.25 1    0.25 1    0.25 16   0.5  2    1    0.5  0.5 
#> [16] 0.25 1    8    4    0.25 0.5  16   1    1    0.25
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] >=4     0.5     2       0.25    1       0.25    <=0.125 1       1      
#> [10] >=4     0.25    0.5     0.5     0.25    0.5     <=0.125 0.5     2      
#> [19] 1       0.25    2       <=0.125 0.5     0.25    0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 39 13 39 41 42 49 49 43 42 43 50 43 21 34 21 34 13 23 12 18 26 49 46 45 23
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 14 16 15 11 16 12 17 17 13 13 16 17 12 14 16 14 11 11 17 14 17 11 16 17 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 27 19 22 23 17 20 17 20 25 20 16 18 27 24 16 16 27 20 17 27 20 26 20 18 22
# }