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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    0.002   4       2       0.005   0.025   >=256   128     0.002  
#> [10] 2       <=0.001 2       64      16      >=256   0.125   0.002   0.002  
#> [19] 0.005   0.25    0.005   2       >=256   0.01    16     
random_disk(25)
#> Class <disk>
#>  [1] 28 48 49 18 11 30 16 23 16 12 35 47 42  8 20 49 44 31 42 25 18  7 26 41 44
random_rsi(25)
#> Class <rsi>
#>  [1] R I I R S R S S I S I I S I R I R S I R S I S S 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] 0.005   0.002   128     2       0.0625  1       <=0.001 256     16     
#> [10] 32      <=0.001 <=0.001 32      128     64      64      32      0.025  
#> [19] 8       2       0.002   0.5     0.125   <=0.001 256    
random_mic(25, "Klebsiella pneumoniae", "meropenem")    # range 0.0625-16
#> Class <mic>
#>  [1] 4     8     2     8     8     <=0.5 2     4     <=0.5 4     32    4    
#> [13] <=0.5 32    <=0.5 1     2     <=0.5 <=0.5 8     64    <=0.5 16    64   
#> [25] <=0.5
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 2       4       0.25    1       <=0.125 1       2       0.5     2      
#> [10] 1       2       <=0.125 0.5     1       4       4       1       <=0.125
#> [19] 0.5     0.5     0.5     2       2       4       2      

random_disk(25, "Klebsiella pneumoniae")                  # range 8-50
#> Class <disk>
#>  [1] 38 25 31 29  9 27  9 16 47 41 43 32 19 14 38 18 28 11  8 42 43 22 46 18 28
random_disk(25, "Klebsiella pneumoniae", "ampicillin")    # range 11-17
#> Class <disk>
#>  [1] 12 15 14 17 11 15 17 16 15 17 14 12 15 14 13 16 12 13 12 12 12 16 12 15 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 21 18 23 25 23 16 15 19 19 19 25 27 27 17 21 21 23 18 22 25 27 25 18 15 15
# }