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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] 0.01    1       0.025   4       2       256     0.125   0.005   0.0625 
#> [10] 4       0.005   64      1       16      0.5     <=0.002 0.5     0.005  
#> [19] 0.005   16      16      128     0.01    16      <=0.002
random_disk(25)
#> Class <disk>
#>  [1] 49 25 17 40 42 40 37 45  6 46 13  6 48 38 38 28 46 14 40  9 19 41 41 40 43
random_rsi(25)
#> Class <rsi>
#>  [1] S S R R R R I S I I S R I S S R I S S R S R I 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] 0.5     32      4       4       0.002   8       2       0.025   <=0.001
#> [10] 0.25    128     0.002   16      32      0.125   16      0.5     4      
#> [19] 256     16      0.0625  <=0.001 0.5     256     32     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 8    >=16 >=16 >=16 >=16 2    <=1  8    8    4    8    <=1  4    <=1  <=1 
#> [16] >=16 >=16 <=1  <=1  8    8    4    2    4    8   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 4       0.5     0.0625  4       >=16    1       0.5     0.5     0.0625 
#> [10] 4       0.25    0.25    0.0625  8       4       8       0.25    8      
#> [19] 0.25    4       1       >=16    <=0.025 4       <=0.025

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 21 37 33 13 16 25 34 10 46 40 48 31 42 13 33 30  9 24 15 41 20 22 43 45 42
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 13 17 15 16 16 11 16 14 15 13 12 13 13 14 14 16 13 16 14 17 13 15 11 17 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 18 20 17 22 27 15 22 15 18 25 20 19 22 19 15 23 15 19 27 17 23 15 16 15 21
# }