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] 256     4       128     0.005   32      128     64      256     1      
#> [10] 32      0.005   0.025   <=0.001 4       0.005   0.005   64      0.5    
#> [19] 0.0625  0.01    1       0.01    4       16      2      
random_disk(25)
#> Class 'disk'
#>  [1] 44 35 48 44 48  6 18 34  9 13 42 45 41 28 24 21 40 41 41 46 44 42 11 39 38
random_rsi(25)
#> Class 'rsi'
#>  [1] I R I S R I S I R I I R R I S I I R R I R S S 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] 4       0.025   0.5     0.025   0.01    <=0.001 >=64    0.002   2      
#> [10] 0.025   1       2       16      0.01    0.025   >=64    0.0625  >=64   
#> [19] 16      0.0625  0.125   32      >=64    0.0625  8      
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] >=64  2     8     4     8     8     16    2     2     1     2     <=0.5
#> [13] 1     8     4     1     32    2     >=64  1     <=0.5 32    1     2    
#> [25] >=64 
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 0.5     1       0.25    0.25    <=0.125 8       4       0.5     <=0.125
#> [10] <=0.125 0.25    0.25    2       0.5     0.5     4       0.25    4      
#> [19] 4       <=0.125 <=0.125 1       <=0.125 0.5     0.25   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 50 28 14 47 14 30 24 47 44 16 45 32 21 40  9 34 29 32 21 26 49 47 40 23 43
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 13 11 14 12 16 11 13 16 13 17 14 15 12 13 16 11 17 13 15 14 15 15 16 12 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 24 27 25 18 26 24 24 15 15 16 24 20 24 16 17 27 23 20 24 18 24 23 20 26 24
# }