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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] 8       0.25    0.01    8       128     0.025   0.5     <=0.002 32     
#> [10] 64      16      0.005   0.005   0.025   0.025   0.25    0.025   8      
#> [19] 256     256     2       256     0.005   0.025   64     
random_disk(25)
#> Class 'disk'
#>  [1] 30 16 47 35 37 49 26 34 44 48 27 44 26 41 49 23  7 50 19 34 38 25 21 43 29
random_rsi(25)
#> Class 'rsi'
#>  [1] R S S S S I S S R R R I S S S S S S S S R I R 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] 1     128   0.001 0.01  128   0.01  0.001 0.01  4     128   0.001 0.01 
#> [13] 0.002 4     16    32    1     0.25  1     2     64    16    64    16   
#> [25] 0.01 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] <=1  8    8    8    <=1  2    4    8    >=16 >=16 2    4    8    >=16 8   
#> [16] 4    2    >=16 4    <=1  2    >=16 8    8    2   
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 1       2       >=16    >=16    4       2       0.5     0.5     0.25   
#> [10] 1       0.5     <=0.125 2       4       >=16    4       8       >=16   
#> [19] 4       1       <=0.125 0.5     0.5     0.5     2      

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 21 36 49 10 16 15 34 46 43 42 33 47 43 50 19 45 45 13 34  9 46 20 42 40 12
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 16 11 16 13 11 12 11 14 13 11 14 11 12 15 12 12 13 13 17 17 16 13 16 11 15
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 17 15 25 23 16 23 16 27 26 20 17 16 22 22 27 18 24 17 26 25 27 21 16 27 18
# }