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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 agent, 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 agent 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] 64     0.125  4      0.25   64     128    0.125  128    256    0.001 
#> [11] 0.5    1      0.5    0.25   0.001  256    128    0.0625 0.0625 0.01  
#> [21] 0.001  0.125  0.002  0.005  0.001 
random_disk(25)
#> Class 'disk'
#>  [1] 43 40 47 19  6  8 26 46 43 13 48 14 24 43 45 29 42 46  6 19 19 47 28 17 41
random_rsi(25)
#> Class 'rsi'
#>  [1] I I S S R R R I I R I R S S R R S S I R R S I R I

# \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] 8      4      0.002  0.01   0.005  0.0625 0.005  8      >=64   0.5   
#> [11] 0.0625 >=64   0.001  0.01   0.25   0.0625 0.125  0.125  1      32    
#> [21] 0.002  0.025  0.002  8      0.025 
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 64  64  16  8   2   32  16  2   64  4   8   64  8   64  64  8   4   4   4  
#> [20] 4   64  0.5 16  0.5 2  
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] <=0.0625 0.125    1        <=0.0625 <=0.0625 <=0.0625 2        0.125   
#>  [9] <=0.0625 4        <=0.0625 0.25     >=8      1        0.125    4       
#> [17] 2        0.125    <=0.0625 4        0.25     0.5      2        2       
#> [25] >=8     

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 19 40 40 47 26 36 39 28 33 48 12 45 31 40 42 39 45 37 42 12 45 46 32 10 24
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 14 17 11 16 14 12 12 16 13 11 15 15 12 13 17 17 13 15 16 11 15 16 12 12
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 18 17 18 16 21 21 23 17 17 26 15 19 18 23 23 18 22 24 21 25 26 15 26 19 24
# }