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(v1.4.0.9033) documentation update
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#'
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#' Determine first (weighted) isolates of all microorganisms of every patient per episode and (if needed) per specimen type. To determine patient episodes not necessarily based on microorganisms, use [is_new_episode()] that also supports grouping with the `dplyr` package.
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#' @inheritSection lifecycle Stable lifecycle
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#' @param x a [data.frame] containing isolates. Can be omitted when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`.
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#' @param x a [data.frame] containing isolates. Can be omitted when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()].
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#' @param col_date column name of the result date (or date that is was received on the lab), defaults to the first column with a date class
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#' @param col_patient_id column name of the unique IDs of the patients, defaults to the first column that starts with 'patient' or 'patid' (case insensitive)
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#' @param col_mo column name of the IDs of the microorganisms (see [as.mo()]), defaults to the first column of class [`mo`]. Values will be coerced using [as.mo()].
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