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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] 64      2       0.002   128     2       2       0.005   0.005   256    
#> [10] 2       0.025   128     256     0.5     1       256     <=0.001 0.025  
#> [19] 0.002   0.0625  8       2       128     32      0.5    
random_disk(25)
#> Class <disk>
#>  [1] 41 50 44 50 41 22  8 38 35 50 20 13  9  6 17 45 34 12 45 39 44 39 15 35 12
random_rsi(25)
#> Class <rsi>
#>  [1] R R S I R I S I S I I S R S S I R S S I I S S 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] 0.002   32      <=0.001 1       0.125   0.0625  0.002   0.002   0.01   
#> [10] 0.002   64      32      0.5     0.5     2       4       32      0.0625 
#> [19] 0.005   0.025   0.002   32      >=128   0.005   16     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 8      1      16     32     <=0.25 <=0.25 0.5    16     2      <=0.25
#> [11] 4      <=0.25 32     4      1      <=0.25 32     4      16     16    
#> [21] 1      1      8      1      8     
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 2     8     8     1     0.125 8     4     0.5   0.125 >=16  0.025 >=16 
#> [13] 2     >=16  0.5   0.025 1     8     4     0.125 8     1     2     4    
#> [25] >=16 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 43 45 38 25 41 41 36 22 23 44 50 50 10 33 43 40 23 46 19 23 39 14  8 43 27
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 17 13 13 12 17 13 17 11 13 17 14 11 14 15 11 16 13 17 11 16 11 12 14 15 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 15 17 20 25 19 17 25 18 23 20 17 17 19 26 19 21 26 16 20 18 16 15 18 15 18
# }