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(v2.1.1.9126) implemented WISCA! Also added top_n_microorganisms()
and fixed Python wrapper
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@ -18,50 +18,38 @@
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\strong{M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 5th Edition}, 2022, \emph{Clinical and Laboratory Standards Institute (CLSI)}. \url{https://clsi.org/standards/products/microbiology/documents/m39/}.
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}
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\usage{
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resistance(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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resistance(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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susceptibility(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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susceptibility(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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sir_confidence_interval(
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...,
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ab_result = "R",
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minimum = 30,
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as_percent = FALSE,
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only_all_tested = FALSE,
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confidence_level = 0.95,
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side = "both",
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collapse = FALSE
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)
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sir_confidence_interval(..., ab_result = "R", minimum = 30,
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as_percent = FALSE, only_all_tested = FALSE, confidence_level = 0.95,
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side = "both", collapse = FALSE)
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proportion_R(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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proportion_R(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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proportion_IR(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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proportion_IR(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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proportion_I(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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proportion_I(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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proportion_SI(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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proportion_SI(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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proportion_S(..., minimum = 30, as_percent = FALSE, only_all_tested = FALSE)
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proportion_S(..., minimum = 30, as_percent = FALSE,
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only_all_tested = FALSE)
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proportion_df(
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data,
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translate_ab = "name",
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language = get_AMR_locale(),
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minimum = 30,
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as_percent = FALSE,
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combine_SI = TRUE,
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confidence_level = 0.95
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)
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proportion_df(data, translate_ab = "name", language = get_AMR_locale(),
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minimum = 30, as_percent = FALSE, combine_SI = TRUE,
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confidence_level = 0.95)
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sir_df(
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data,
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translate_ab = "name",
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language = get_AMR_locale(),
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minimum = 30,
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as_percent = FALSE,
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combine_SI = TRUE,
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confidence_level = 0.95
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)
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sir_df(data, translate_ab = "name", language = get_AMR_locale(),
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minimum = 30, as_percent = FALSE, combine_SI = TRUE,
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confidence_level = 0.95)
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}
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\arguments{
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\item{...}{one or more vectors (or columns) with antibiotic interpretations. They will be transformed internally with \code{\link[=as.sir]{as.sir()}} if needed. Use multiple columns to calculate (the lack of) co-resistance: the probability where one of two drugs have a resistant or susceptible result. See \emph{Examples}.}
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