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      32     0.001  2      0.005  >=256  64     16     0.125 
#> [11] 8      0.0625 0.005  0.5    >=256  128    32     0.005  0.001  0.025 
#> [21] 16     0.025  8      8      0.25  
random_disk(25)
#> Class 'disk'
#>  [1] 50  6 29  7 10 23 32 46 48 21 42 49 17  8 11 35 19 19 27 33 49 49 28 24 28
random_rsi(25)
#> Class 'rsi'
#>  [1] S S I I S S R I S R R R I R I R S I R R S R S I 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] 32      0.01    0.0625  >=64    32      0.5     8       <=0.001 1      
#> [10] 0.01    0.125   1       0.005   16      0.01    4       2       1      
#> [19] 0.01    0.002   0.025   0.125   <=0.001 >=64    32     
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 8     8     <=0.5 <=0.5 8     <=0.5 >=32  4     4     2     1     <=0.5
#> [13] <=0.5 <=0.5 1     16    16    8     16    <=0.5 4     1     1     <=0.5
#> [25] 4    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1        0.25     <=0.0625 0.5      >=16     0.25     <=0.0625 2       
#>  [9] 8        1        <=0.0625 >=16     4        2        <=0.0625 0.125   
#> [17] 0.25     1        2        8        1        0.25     2        0.25    
#> [25] 0.25    

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 48 11 16 42 45 29 50 43 35 25 13 17 20 35 47 24 29 40 40 50 48 44 50 14 43
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 14 16 13 15 11 17 14 17 16 17 12 12 16 14 17 17 12 13 13 14 16 16 17 14 11
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 27 27 25 19 18 15 16 16 18 18 24 15 20 25 27 26 19 24 20 24 27 18 19 25
# }