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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] 1      8      8      8      0.25   0.25   0.025  0.01   0.002  0.01  
#> [11] >=64   0.5    2      1      0.01   0.0625 1      0.5    >=64   0.025 
#> [21] 0.005  0.001  >=64   1      16    
random_disk(25)
#> Class 'disk'
#>  [1] 23 48 36 18 46 48 41 40 42 42 46  8 45 50 32 37 50 22 20 34 25  9  8 30 45
random_rsi(25)
#> Class 'rsi'
#>  [1] I R S R R R I S R R S R S I S S I S R S I I R I 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] 0.002   64      0.125   64      1       0.125   0.002   >=256   4      
#> [10] 4       0.125   64      >=256   1       1       32      <=0.001 1      
#> [19] 0.5     0.01    0.002   <=0.001 0.01    0.25    0.5    
random_mic(25, "Klebsiella pneumoniae", "meropenem") # range 0.0625-16
#> Class 'mic'
#>  [1] 16    64    4     64    32    8     4     2     4     8     16    4    
#> [13] 4     1     32    2     4     64    16    64    <=0.5 8     4     64   
#> [25] 2    
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class 'mic'
#>  [1] 2        0.125    0.5      0.25     0.25     0.125    2        <=0.0625
#>  [9] 0.25     >=4      0.5      0.25     0.5      2        1        1       
#> [17] 0.25     <=0.0625 0.125    <=0.0625 0.25     0.5      2        1       
#> [25] 0.125   

random_disk(25, "Klebsiella pneumoniae") # range 8-50
#> Class 'disk'
#>  [1] 31 18 17 13 25 50 33 11 43 28 47 34 32 30 10 48 13 11 44 40 46  8 32 19 19
random_disk(25, "Klebsiella pneumoniae", "ampicillin") # range 11-17
#> Class 'disk'
#>  [1] 15 16 11 12 11 16 12 11 11 11 14 17 12 14 14 16 16 16 16 17 13 17 15 11 14
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class 'disk'
#>  [1] 25 17 21 26 26 15 18 19 24 23 20 24 18 18 25 24 17 17 25 15 16 20 15 27 21
# }