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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] 0.25    0.025   2       32      128     32      0.5     2       32     
#> [10] 0.002   0.005   <=0.001 >=256   2       128     0.5     <=0.001 8      
#> [19] 128     0.125   0.125   2       8       1       8      
random_disk(25)
#> Class <disk>
#>  [1] 45 21 42 40 33 36 34 29  9 20 43 34 40 49 28 43 44 37 43 20 35 16 11 47 15
random_rsi(25)
#> Class <rsi>
#>  [1] R R S S I I S R R S R S S R R I I S S R I I S I 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] 2      2      0.0625 0.005  >=128  0.005  2      0.005  0.0625 1     
#> [11] 0.001  0.01   0.5    0.001  8      0.001  16     16     16     0.01  
#> [21] 8      1      32     64     8     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 1      0.5    2      <=0.25 1      8      8      0.5    2      1     
#> [11] 2      2      8      4      >=16   >=16   1      <=0.25 4      0.5   
#> [21] 8      0.5    >=16   8      4     
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 0.0625 1      0.125  0.125  0.125  >=4    0.5    0.125  1      0.125 
#> [11] 2      2      >=4    >=4    0.25   2      >=4    0.0625 1      2     
#> [21] 0.0625 1      0.5    1      0.5   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 23 14 32 50 15 38 35 50 21 34 41 36 46 49 43 41  9 20 20 27 31 21 13 46 22
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 15 13 11 14 12 14 15 15 17 14 17 13 11 16 17 12 14 17 17 17 12 14 13 15 16
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 22 23 20 22 18 23 21 16 20 23 23 19 15 26 27 20 22 19 22 16 21 20 15 19 26
# }