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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] <=0.001 1       0.25    128     0.01    0.025   0.025   16      8      
#> [10] 128     64      16      <=0.001 0.01    0.0625  0.0625  0.5     0.0625 
#> [19] 0.025   8       128     32      0.025   0.0625  0.01   
random_disk(25)
#> Class <disk>
#>  [1] 30 11 11 41 49 41 47  7 44 29 15 18 25  6 30 49 24 38 15 23 15 17 43 45  6
random_rsi(25)
#> Class <rsi>
#>  [1] S I I S R R I I S R S I S R R R R I S I R I I S 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] 0.01  0.025 8     2     1     0.002 0.125 2     64    0.25  16    32   
#> [13] 0.005 0.125 0.01  256   0.5   1     4     0.25  0.125 0.001 256   0.5  
#> [25] 128  
random_mic(25, "Klebsiella pneumoniae", "meropenem")    # range 0.0625-16
#> Class <mic>
#>  [1] 0.5    >=64   2      4      8      0.5    >=64   2      1      32    
#> [11] >=64   16     8      <=0.25 <=0.25 4      <=0.25 16     16     <=0.25
#> [21] 16     32     32     <=0.25 <=0.25
random_mic(25, "Streptococcus pneumoniae", "meropenem") # range 0.0625-4
#> Class <mic>
#>  [1] 0.25    1       >=8     <=0.125 0.25    4       0.5     >=8     >=8    
#> [10] 0.25    0.25    0.25    1       4       <=0.125 1       >=8     4      
#> [19] 4       0.5     2       >=8     >=8     >=8     0.25   

random_disk(25, "Klebsiella pneumoniae")                  # range 8-50
#> Class <disk>
#>  [1] 19 46 14 40 42 13 26 42 12 21 41 26 21 12 24 27 40 21 45 37 24 13 41 17 41
random_disk(25, "Klebsiella pneumoniae", "ampicillin")    # range 11-17
#> Class <disk>
#>  [1] 17 16 17 11 13 14 13 17 17 16 17 12 17 11 16 11 13 15 13 11 16 12 14 16 13
random_disk(25, "Streptococcus pneumoniae", "ampicillin") # range 12-27
#> Class <disk>
#>  [1] 22 17 19 18 25 20 18 23 18 15 23 20 24 23 21 20 18 21 18 21 23 15 18 25 22
# }