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Plotting for Classes rsi, mic and disk

Source: R/plot.R
plot.Rd

Functions to plot classes rsi, mic and disk, with support for base R and ggplot2.

Usage

# S3 method for mic
plot(
  x,
  mo = NULL,
  ab = NULL,
  guideline = "EUCAST",
  main = deparse(substitute(x)),
  ylab = "Frequency",
  xlab = "Minimum Inhibitory Concentration (mg/L)",
  colours_RSI = c("#ED553B", "#3CAEA3", "#F6D55C"),
  language = get_AMR_locale(),
  expand = TRUE,
  ...
)

# S3 method for mic
autoplot(
  object,
  mo = NULL,
  ab = NULL,
  guideline = "EUCAST",
  title = deparse(substitute(object)),
  ylab = "Frequency",
  xlab = "Minimum Inhibitory Concentration (mg/L)",
  colours_RSI = c("#ED553B", "#3CAEA3", "#F6D55C"),
  language = get_AMR_locale(),
  expand = TRUE,
  ...
)

# S3 method for mic
fortify(object, ...)

# S3 method for disk
plot(
  x,
  main = deparse(substitute(x)),
  ylab = "Frequency",
  xlab = "Disk diffusion diameter (mm)",
  mo = NULL,
  ab = NULL,
  guideline = "EUCAST",
  colours_RSI = c("#ED553B", "#3CAEA3", "#F6D55C"),
  language = get_AMR_locale(),
  expand = TRUE,
  ...
)

# S3 method for disk
autoplot(
  object,
  mo = NULL,
  ab = NULL,
  title = deparse(substitute(object)),
  ylab = "Frequency",
  xlab = "Disk diffusion diameter (mm)",
  guideline = "EUCAST",
  colours_RSI = c("#ED553B", "#3CAEA3", "#F6D55C"),
  language = get_AMR_locale(),
  expand = TRUE,
  ...
)

# S3 method for disk
fortify(object, ...)

# S3 method for rsi
plot(
  x,
  ylab = "Percentage",
  xlab = "Antimicrobial Interpretation",
  main = deparse(substitute(x)),
  language = get_AMR_locale(),
  ...
)

# S3 method for rsi
autoplot(
  object,
  title = deparse(substitute(object)),
  xlab = "Antimicrobial Interpretation",
  ylab = "Frequency",
  colours_RSI = c("#ED553B", "#3CAEA3", "#F6D55C"),
  language = get_AMR_locale(),
  ...
)

# S3 method for rsi
fortify(object, ...)

Arguments

x, object

values created with as.mic(), as.disk() or as.rsi() (or their random_* variants, such as random_mic())

mo

any (vector of) text that can be coerced to a valid microorganism code with as.mo()

ab

any (vector of) text that can be coerced to a valid antimicrobial code with as.ab()

guideline

interpretation guideline to use, defaults to the latest included EUCAST guideline, see Details

main, title

title of the plot

xlab, ylab

axis title

colours_RSI

colours to use for filling in the bars, must be a vector of three values (in the order R, S and I). The default colours are colour-blind friendly.

language

language to be used to translate 'Susceptible', 'Increased exposure'/'Intermediate' and 'Resistant', defaults to system language (see get_AMR_locale()) and can be overwritten by setting the option AMR_locale, e.g. options(AMR_locale = "de"), see translate. Use language = NULL or language = "" to prevent translation.

expand

a logical to indicate whether the range on the x axis should be expanded between the lowest and highest value. For MIC values, intermediate values will be factors of 2 starting from the highest MIC value. For disk diameters, the whole diameter range will be filled.

...

arguments passed on to methods

Value

The autoplot() functions return a ggplot model that is extendible with any ggplot2 function.

The fortify() functions return a data.frame as an extension for usage in the ggplot2::ggplot() function.

Details

The interpretation of "I" will be named "Increased exposure" for all EUCAST guidelines since 2019, and will be named "Intermediate" in all other cases.

For interpreting MIC values as well as disk diffusion diameters, supported guidelines to be used as input for the guideline argument are: "EUCAST 2022", "EUCAST 2021", "EUCAST 2020", "EUCAST 2019", "EUCAST 2018", "EUCAST 2017", "EUCAST 2016", "EUCAST 2015", "EUCAST 2014", "EUCAST 2013", "EUCAST 2012", "EUCAST 2011", "CLSI 2022", "CLSI 2021", "CLSI 2020", "CLSI 2019", "CLSI 2018", "CLSI 2017", "CLSI 2016", "CLSI 2015", "CLSI 2014", "CLSI 2013", "CLSI 2012" and "CLSI 2011".

Simply using "CLSI" or "EUCAST" as input will automatically select the latest version of that guideline.

Examples

some_mic_values <- random_mic(size = 100)
some_disk_values <- random_disk(size = 100, mo = "Escherichia coli", ab = "cipro")
some_rsi_values <- random_rsi(50, prob_RSI = c(0.30, 0.55, 0.05))

plot(some_mic_values)

plot(some_disk_values)

plot(some_rsi_values)


# when providing the microorganism and antibiotic, colours will show interpretations:
plot(some_mic_values, mo = "S. aureus", ab = "ampicillin")
#> ℹ Function `as.mo()` is uncertain about "S. aureus" (assuming
#>   Staphylococcus aureus). Run `mo_uncertainties()` to review this.

plot(some_disk_values, mo = "Escherichia coli", ab = "cipro")


# \donttest{
if (require("ggplot2")) {
  autoplot(some_mic_values)
  autoplot(some_disk_values, mo = "Escherichia coli", ab = "cipro")
  autoplot(some_rsi_values)
}

# }