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    0.125  64     0.025  4      32     0.5    0.5    1      0.001 
#> [11] 0.005  0.001  16     2      0.0625 1      0.005  0.001  0.002  64    
#> [21] 0.125  0.001  0.25   256    0.25  
random_disk(25)
#> Class 'disk'
#>  [1] 22 17 48 24 33 35 46  9 46 34 48 48 30 42  8 44 15 41 34 27 42 47 19 32 29
random_rsi(25)
#> Class 'rsi'
#>  [1] S S R S R S R S I R I I R S R S S I R I S I S S S

# \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] 0.125   8       0.25    0.01    4       0.5     0.005   0.01    256    
#> [10] 16      2       0.0625  0.5     0.002   0.125   32      32      0.002  
#> [19] <=0.001 4       0.005   0.002   <=0.001 256     0.125  
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 4   4   8   16  2   16  <=1 8   2   16  8   <=1 64  2   4   2   2   2   2  
#> [20] 64  8   8   4   32  4  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1      0.025  0.0625 >=4    0.5    0.5    0.5    0.5    >=4    >=4   
#> [11] 0.25   0.025  0.025  0.125  >=4    1      >=4    1      1      0.5   
#> [21] 2      0.25   1      1      1     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 46 27 10 49 45 44 27 26 10 43 35 37 42 42 46 37 19 18 41 17 29 50 10 23 50
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 11 17 11 14 14 12 14 11 14 15 14 11 12 15 16 11 13 13 16 12 15 14 14 17 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 27 27 20 21 24 17 21 21 22 18 16 27 27 22 19 25 25 21 15 19 27 21 18 21 17
# }