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(v1.1.0.9004) lose dependencies

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dr. M.S. (Matthijs) Berends
2020-05-16 13:05:47 +02:00
parent 9fce546901
commit 7f3da74b17
111 changed files with 3211 additions and 2345 deletions
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8
man/proportion.Rd
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@ -74,7 +74,7 @@ rsi_df(
A \code{\link{double}} or, when \code{as_percent = TRUE}, a \code{\link{character}}.
}
\description{
These functions can be used to calculate the (co-)resistance or susceptibility of microbial isolates (i.e. percentage of S, SI, I, IR or R). All functions support quasiquotation with pipes, can be used in \code{summarise()}][dplyr::summarise()] and also support grouped variables, please see \emph{Examples}.
These functions can be used to calculate the (co-)resistance or susceptibility of microbial isolates (i.e. percentage of S, SI, I, IR or R). All functions support quasiquotation with pipes, can be used in \code{\link[=summarise]{summarise()}} from the \code{dplyr} package and also supports grouped variables, please see \emph{Examples}.
\code{\link[=resistance]{resistance()}} should be used to calculate resistance, \code{\link[=susceptibility]{susceptibility()}} should be used to calculate susceptibility.\cr
}
@ -85,7 +85,7 @@ The function \code{\link[=resistance]{resistance()}} is equal to the function \c
These functions are not meant to count isolates, but to calculate the proportion of resistance/susceptibility. Use the \code{count()}][AMR::count()] functions to count isolates. The function \code{\link[=susceptibility]{susceptibility()}} is essentially equal to \code{count_susceptible() / count_all()}. \emph{Low counts can influence the outcome - the \code{proportion} functions may camouflage this, since they only return the proportion (albeit being dependent on the \code{minimum} parameter).}
The function \code{\link[=proportion_df]{proportion_df()}} takes any variable from \code{data} that has an \code{\link{rsi}} class (created with \code{\link[=as.rsi]{as.rsi()}}) and calculates the proportions R, I and S. The function \code{\link[=rsi_df]{rsi_df()}} works exactly like \code{\link[=proportion_df]{proportion_df()}}, but adds the number of isolates.
The function \code{\link[=proportion_df]{proportion_df()}} takes any variable from \code{data} that has an \code{\link{rsi}} class (created with \code{\link[=as.rsi]{as.rsi()}}) and calculates the proportions R, I and S. It also supports grouped variables. The function \code{\link[=rsi_df]{rsi_df()}} works exactly like \code{\link[=proportion_df]{proportion_df()}}, but adds the number of isolates.
}
\section{Combination therapy}{
@ -160,6 +160,7 @@ proportion_I(example_isolates$AMX)
proportion_IR(example_isolates$AMX)
proportion_R(example_isolates$AMX)
\dontrun{
library(dplyr)
example_isolates \%>\%
group_by(hospital_id) \%>\%
@ -217,9 +218,6 @@ example_isolates \%>\%
group_by(hospital_id) \%>\%
proportion_df(translate = FALSE)
\dontrun{
# calculate current empiric combination therapy of Helicobacter gastritis:
my_table \%>\%
filter(first_isolate == TRUE,