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31 lines
1.3 KiB
R
31 lines
1.3 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/n_rsi.R
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\name{n_rsi}
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\alias{n_rsi}
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\title{Count cases with antimicrobial results}
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\usage{
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n_rsi(...)
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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.rsi}} 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 Examples.}
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}
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\description{
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This counts all cases where antimicrobial interpretations are available. The way it can be used is equal to \code{\link{n_distinct}}. Its function is equal to \code{count_S(...) + count_IR(...)}.
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}
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\examples{
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library(dplyr)
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septic_patients \%>\%
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group_by(hospital_id) \%>\%
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summarise(cipro_p = portion_S(cipr, as_percent = TRUE),
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cipro_n = n_rsi(cipr),
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genta_p = portion_S(gent, as_percent = TRUE),
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genta_n = n_rsi(gent),
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combination_p = portion_S(cipr, gent, as_percent = TRUE),
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combination_n = n_rsi(cipr, gent))
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}
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\seealso{
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\code{\link[AMR]{count}_*} to count resistant and susceptibile isolates per interpretation type.\cr
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\code{\link{portion}_*} to calculate microbial resistance and susceptibility.
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}
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