Skip to contents

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] 1       2       0.5     32      0.01    1       0.5     <=0.002 0.005  
#> [10] 0.01    32      >=256   0.01    4       0.125   0.025   32      >=256  
#> [19] 1       1       4       0.025   4       64      0.0625 
random_disk(25)
#> Class <disk>
#>  [1] 46 43 39 46 43 42 23 46 47 47 49 43 50 47 45 32 40 43 37 43 40 48 21 12 49
random_rsi(25)
#> Class <rsi>
#>  [1] R S S I S R I I I R S R R R S R R S R I I I S S 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] 32     0.5    0.001  16     0.001  2      0.0625 0.0625 16     0.125 
#> [11] 0.025  32     0.5    0.005  16     0.125  0.0625 0.125  0.002  64    
#> [21] 0.01   32     8      16     0.0625
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class <mic>
#>  [1] 2     >=32  16    4     4     16    2     16    4     2     >=32  2    
#> [13] 2     <=0.5 <=0.5 4     8     8     1     16    16    >=32  8     <=0.5
#> [25] 2    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 1     >=16  2     0.25  0.125 8     0.25  >=16  1     1     8     0.5  
#> [13] 8     0.5   >=16  0.25  1     0.5   >=16  1     4     0.125 8     2    
#> [25] 8    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class <disk>
#>  [1] 28 44 33 10 35 18 23 48 50 33 44 27 41 19 40 45 44 42 18 42 38 29 47 47 48
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class <disk>
#>  [1] 12 17 15 17 14 16 17 13 14 16 16 16 12 13 12 12 14 12 16 17 17 12 15 13 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 24 22 25 27 24 26 18 22 17 20 24 18 17 20 23 26 15 22 22 21 19 17 16 17 16
# }