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_sir(size = NULL, prob_SIR = 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_SIR

a vector of length 3: the probabilities for "S" (1st value), "I" (2nd value) and "R" (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 2024 guideline as implemented in the clinical_breakpoints 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      16     4      0.125  4      0.005  0.001  0.01   >=128  32    
#> [11] 16     0.001  64     64     0.125  0.001  64     0.0625 0.002  0.005 
#> [21] 64     2      0.25   0.01   1     
random_disk(25)
#> Class 'disk'
#>  [1] 28 21 50  8 29 44 46 42 24  6 41 19 39 48 19 18 49  7 15 36 50 50 48  8 35
random_sir(25)
#> Class 'sir'
#>  [1] I I I I R S I I R I R S I R I I R R I S S 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] 0.0625 16     0.025  4      32     0.025  0.002  0.0625 2      0.25  
#> [11] 0.0625 0.125  0.001  16     0.001  1      0.25   0.5    64     0.005 
#> [21] 4      4      0.125  0.002  0.5   
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=16 0.5  8    8    4    >=16 1    1    4    1    8    4    >=16 4    0.5 
#> [16] 1    >=16 4    2    2    4    2    8    0.5  1   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] >=8      4        2        <=0.0625 0.25     1        1        0.25    
#>  [9] <=0.0625 0.25     0.5      1        >=8      1        2        <=0.0625
#> [17] >=8      <=0.0625 1        1        1        4        0.125    0.125   
#> [25] 2       

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 15 46 20 39 24 36 50 42 15 12 11 17 40 16 46 44 48 50 24 50 29 14 39 43 14
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 11 11 13 11 16 17 16 11 11 14 11 11 14 16 14 16 12 12 13 14 13 17 12 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 16 23 19 25 20 24 17 27 16 18 17 18 20 19 24 20 23 23 20 19 25 23 17 16
# }