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use dplyr where available, new antibiogram()
for WISCA, fixed Salmonella Typhi/Paratyphi
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@ -137,7 +137,7 @@ mean_amr_distance.data.frame <- function(x, ..., combine_SI = TRUE) {
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if (!is.null(out)) {
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df <- df[, out, drop = FALSE]
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} else {
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df <- pm_select(df, ...)
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df <- select(df, ...)
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}
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}
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df_classes <- colnames(df)[vapply(FUN.VALUE = logical(1), df, function(x) is.disk(x) | is.mic(x) | is.disk(x), USE.NAMES = FALSE)]
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