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 drug, 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 drug 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] 16     0.25   0.005  0.002  256    0.01   256    16     0.001  256   
#> [11] 8      0.0625 1      16     0.01   0.005  0.25   0.0625 32     0.025 
#> [21] 16     4      4      4      0.002 
random_disk(25)
#> Class 'disk'
#>  [1] 16 42 16 44  9 49 50 44 43 44 43 46 14 26 47 44 24 27 50 14  9 36 45 16 50
random_rsi(25)
#> Class 'rsi'
#>  [1] S S I I I R S S R S I I R R S S I R I S I I I 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] 0.025   0.005   0.0625  4       64      0.0625  2       0.01    16     
#> [10] 0.005   64      128     0.25    <=0.002 0.025   <=0.002 0.01    1      
#> [19] 64      0.5     128     0.01    16      4       16     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4    0.25 0.5  16   >=32 2    4    0.25 4    >=32 8    2    1    1    0.25
#> [16] 4    4    0.5  16   16   8    8    8    0.25 0.5 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=8    2      4      0.025  0.0625 2      0.5    0.25   4      >=8   
#> [11] 4      0.025  2      1      0.0625 0.125  >=8    2      0.5    0.25  
#> [21] 0.125  1      1      0.25   0.125 

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 47 43 32 46 48 46 19 16 46 34 34  8 42 44 49 39 27 18 33 21 15 41 41 10 43
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 12 11 16 17 15 16 16 11 15 17 17 11 13 16 14 15 17 15 13 11 13 14 15 15 17
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 22 17 26 18 27 26 15 17 22 15 17 27 23 15 17 23 23 25 25 18 18 26 20 26 27
# }