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] 0.5     2       64      0.125   0.002   0.002   0.025   0.01    0.125  
#> [10] 0.0625  2       8       0.0625  <=0.001 0.005   0.01    64      0.01   
#> [19] 8       4       128     0.025   0.002   0.0625  1      
random_disk(25)
#> Class 'disk'
#>  [1] 14 47  8 11 16 15 29 41 30 34 42 48 31 11 30 49 13 47 13 35  9 50 41 16 48
random_rsi(25)
#> Class 'rsi'
#>  [1] R I R R I I I R R R I R S I S R S R S I S R I R 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] 1      0.01   0.125  4      0.0625 2      64     >=256  8      0.125 
#> [11] 0.002  16     64     0.0625 128    0.025  8      128    >=256  128   
#> [21] 0.025  0.001  0.5    4      0.002 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 32 32 1  16 2  16 16 8  2  4  16 1  4  16 2  1  1  8  16 8  2  16 16 1  8 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.025 8       1       0.125   2       <=0.025 0.5     0.5     0.125  
#> [10] <=0.025 2       8       0.0625  >=16    0.0625  8       0.25    2      
#> [19] >=16    0.25    >=16    0.125   <=0.025 >=16    >=16   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 33 15 41 31 31 36 49 42 34  9 42 31 16 37 50 42 17 44 40 46  8 40 44 42 46
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 15 12 17 11 12 15 17 11 12 14 17 15 14 13 12 11 16 13 17 13 13 15 16 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 20 17 25 16 19 17 21 23 27 24 15 27 25 22 21 15 23 25 20 18 21 15 21 17 24
# }