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edit methodology of rsi
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@ -28,32 +28,17 @@
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#' @param info calculate the amount of available isolates and print it, like \code{n = 423}
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#' @param warning show a warning when the available amount of isolates is below \code{minimum}
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#' @details Remember that you should filter your table to let it contain \strong{only first isolates}!
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#'
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#' To calculate the probability (\emph{p}) of susceptibility of one antibiotic, we use this formula:
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#' \if{html}{
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#' \cr \cr
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#' To calculate the probability (\emph{p}) of susceptibility of one antibiotic, we use this formula:
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#' \out{<div style="text-align: center">}\figure{mono_therapy.png}\out{</div>}
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#' }
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#' \if{latex}{
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#' \deqn{p = \frac{\sum{ab1_S}}{\sum{ab1_{R|I|S}}}}
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#' }
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#' \cr
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#' To calculate the probability (\emph{p}) of susceptibility of more antibiotics a combination therapy, we need to check whether one of them has a susceptible result (as numerator) and count all cases where all antibiotics were tested (as denominator). \cr
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#' For two antibiotics:
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#' \if{html}{
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#' To calculate the probability (\emph{p}) of susceptibility of more antibiotics (i.e. combination therapy), we need to check whether one of them has a susceptible result (as numerator) and count all cases where all antibiotics were tested (as denominator). \cr
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#' For two antibiotics:
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#' \out{<div style="text-align: center">}\figure{combi_therapy_2.png}\out{</div>}
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#' }
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#' \if{latex}{
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#' \deqn{p = \frac{\sum{ab1_S}\mid{ab2_S}}{\sum{ab1_{R|I|S},ab2_{R|I|S}}}}
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#' }
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#' \cr
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#' For three antibiotics:
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#' \if{html}{
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#' \cr
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#' For three antibiotics:
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#' \out{<div style="text-align: center">}\figure{combi_therapy_3.png}\out{</div>}
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#' }
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#' \if{latex}{
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#' \deqn{p = \frac{\sum{ab1_S}\mid{ab2_S}\mid{ab3_S}}{\sum{ab1_{R|I|S},ab2_{R|I|S},ab3_{R|I|S}}}}
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#' }
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#'
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#' @keywords rsi antibiotics isolate isolates
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#' @return Double or, when \code{as_percent = TRUE}, a character.
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#' @rdname rsi
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26
man/rsi.Rd
26
man/rsi.Rd
@ -39,31 +39,17 @@ This functions can be used to calculate the (co-)resistance of isolates (i.e. pe
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}
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\details{
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Remember that you should filter your table to let it contain \strong{only first isolates}!
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To calculate the probability (\emph{p}) of susceptibility of one antibiotic, we use this formula:
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\if{html}{
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\cr \cr
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To calculate the probability (\emph{p}) of susceptibility of one antibiotic, we use this formula:
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\out{<div style="text-align: center">}\figure{mono_therapy.png}\out{</div>}
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}
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\if{latex}{
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\deqn{p = \frac{\sum{ab1_S}}{\sum{ab1_{R|I|S}}}}
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}
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\cr
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To calculate the probability (\emph{p}) of susceptibility of more antibiotics a combination therapy, we need to check whether one of them has a susceptible result (as numerator) and count all cases where all antibiotics were tested (as denominator). \cr
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For two antibiotics:
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\if{html}{
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To calculate the probability (\emph{p}) of susceptibility of more antibiotics (i.e. combination therapy), we need to check whether one of them has a susceptible result (as numerator) and count all cases where all antibiotics were tested (as denominator). \cr
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For two antibiotics:
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\out{<div style="text-align: center">}\figure{combi_therapy_2.png}\out{</div>}
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}
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\if{latex}{
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\deqn{p = \frac{\sum{ab1_S}\mid{ab2_S}}{\sum{ab1_{R|I|S},ab2_{R|I|S}}}}
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}
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\cr
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For three antibiotics:
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\if{html}{
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\cr
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For three antibiotics:
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\out{<div style="text-align: center">}\figure{combi_therapy_3.png}\out{</div>}
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}
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\if{latex}{
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\deqn{p = \frac{\sum{ab1_S}\mid{ab2_S}\mid{ab3_S}}{\sum{ab1_{R|I|S},ab2_{R|I|S},ab3_{R|I|S}}}}
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}
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}
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\examples{
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library(dplyr)
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