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small fixes
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@ -30,7 +30,7 @@
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#' @param search_string a text to search `x` for, will be checked with [as.ab()] if this value is not a column in `x`
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#' @param verbose a [logical] to indicate whether additional info should be printed
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#' @param only_rsi_columns a [logical] to indicate whether only antibiotic columns must be detected that were transformed to class `<rsi>` (see [as.rsi()]) on beforehand (defaults to `FALSE`)
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#' @details You can look for an antibiotic (trade) name or abbreviation and it will search `x` and the [antibiotics] data set for any column containing a name or code of that antibiotic. **Longer columns names take precedence over shorter column names.**
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#' @details You can look for an antibiotic (trade) name or abbreviation and it will search `x` and the [antibiotics] data set for any column containing a name or code of that antibiotic.
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#' @return A column name of `x`, or `NULL` when no result is found.
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#' @export
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#' @examples
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@ -40,13 +40,10 @@
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#' )
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#'
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#' guess_ab_col(df, "amoxicillin")
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#' # [1] "amox"
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#' guess_ab_col(df, "J01AA07") # ATC code of tetracycline
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#' # [1] "tetr"
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#'
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#' guess_ab_col(df, "J01AA07", verbose = TRUE)
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#' # NOTE: Using column 'tetr' as input for J01AA07 (tetracycline).
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#' # [1] "tetr"
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#'
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#' # WHONET codes
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#' df <- data.frame(
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@ -54,19 +51,8 @@
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#' AMC_ED20 = "S"
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#' )
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#' guess_ab_col(df, "ampicillin")
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#' # [1] "AMP_ND10"
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#' guess_ab_col(df, "J01CR02")
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#' # [1] "AMC_ED20"
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#' guess_ab_col(df, as.ab("augmentin"))
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#' # [1] "AMC_ED20"
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#'
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#' # Longer names take precendence:
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#' df <- data.frame(
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#' AMP_ED2 = "S",
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#' AMP_ED20 = "S"
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#' )
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#' guess_ab_col(df, "ampicillin")
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#' # [1] "AMP_ED20"
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guess_ab_col <- function(x = NULL, search_string = NULL, verbose = FALSE, only_rsi_columns = FALSE) {
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meet_criteria(x, allow_class = "data.frame", allow_NULL = TRUE)
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meet_criteria(search_string, allow_class = "character", has_length = 1, allow_NULL = TRUE)
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