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#' @description These functions can be used to count resistant/susceptible microbial isolates. All functions support quasiquotation with pipes, can be used in `summarise()` from the `dplyr` package and also support grouped variables, see *Examples*.
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#'
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#' [count_resistant()] should be used to count resistant isolates, [count_susceptible()] should be used to count susceptible isolates.
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#' @inheritSection lifecycle Stable Lifecycle
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#' @param ... one or more vectors (or columns) with antibiotic interpretations. They will be transformed internally with [as.rsi()] if needed.
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#' @inheritParams proportion
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#' @inheritSection as.rsi Interpretation of R and S/I
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#' @rdname count
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#' @name count
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#' @export
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#' @inheritSection AMR Read more on Our Website!
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#' @examples
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#' # example_isolates is a data set available in the AMR package.
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#' ?example_isolates
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#' # run ?example_isolates for more info.
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#'
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#' # base R ------------------------------------------------------------
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#' count_resistant(example_isolates$AMX) # counts "R"
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#' count_susceptible(example_isolates$AMX) # counts "S" and "I"
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#' count_all(example_isolates$AMX) # counts "S", "I" and "R"
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#' count_susceptible(example_isolates$AMX)
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#' susceptibility(example_isolates$AMX) * n_rsi(example_isolates$AMX)
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#'
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#' # dplyr -------------------------------------------------------------
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#' \donttest{
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#' if (require("dplyr")) {
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#' example_isolates %>%
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