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Replace RSI with SIR
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@ -44,7 +44,7 @@
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#' @param main title of the plot
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#' @param ribbon a [logical] to indicate whether a ribbon should be shown (default) or error bars
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#' @param ... arguments passed on to functions
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#' @inheritSection as.rsi Interpretation of R and S/I
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#' @inheritSection as.sir Interpretation of SIR
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#' @inheritParams first_isolate
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#' @inheritParams graphics::plot
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#' @details Valid options for the statistical model (argument `model`) are:
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@ -76,7 +76,7 @@
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#' plot(x)
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#' \donttest{
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#' if (require("ggplot2")) {
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#' ggplot_rsi_predict(x)
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#' ggplot_sir_predict(x)
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#' }
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#'
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#' # using dplyr:
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@ -156,7 +156,7 @@ resistance_predict <- function(x,
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}
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df <- x
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df[, col_ab] <- droplevels(as.rsi(df[, col_ab, drop = TRUE]))
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df[, col_ab] <- droplevels(as.sir(df[, col_ab, drop = TRUE]))
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if (I_as_S == TRUE) {
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# then I as S
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df[, col_ab] <- gsub("I", "S", df[, col_ab, drop = TRUE], fixed = TRUE)
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@ -286,7 +286,7 @@ resistance_predict <- function(x,
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#' @rdname resistance_predict
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#' @export
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rsi_predict <- resistance_predict
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sir_predict <- resistance_predict
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#' @method plot resistance_predict
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#' @export
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@ -341,7 +341,7 @@ plot.resistance_predict <- function(x, main = paste("Resistance Prediction of",
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#' @rdname resistance_predict
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#' @export
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ggplot_rsi_predict <- function(x,
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ggplot_sir_predict <- function(x,
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main = paste("Resistance Prediction of", x_name),
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ribbon = TRUE,
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...) {
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@ -402,7 +402,7 @@ autoplot.resistance_predict <- function(object,
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x_name <- paste0(ab_name(attributes(object)$ab), " (", attributes(object)$ab, ")")
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meet_criteria(main, allow_class = "character", has_length = 1)
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meet_criteria(ribbon, allow_class = "logical", has_length = 1)
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ggplot_rsi_predict(x = object, main = main, ribbon = ribbon, ...)
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ggplot_sir_predict(x = object, main = main, ribbon = ribbon, ...)
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}
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#' @method fortify resistance_predict
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