
Package index
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summariseOmopSnapshot()
- Summarise a cdm_reference object creating a snapshot with the metadata of the cdm_reference object.
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tableOmopSnapshot()
- Create a visual table from a summarise_omop_snapshot result.
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summariseClinicalRecords()
- Summarise an omop table from a cdm object. You will obtain information related to the number of records, number of subjects, whether the records are in observation, number of present domains and number of present concepts.
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tableClinicalRecords()
- Create a visual table from a summariseClinicalRecord() output.
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summariseMissingData()
- Summarise missing data in omop tables
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tableMissingData()
- Create a visual table from a summariseMissingData() result.
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summariseObservationPeriod()
- Summarise the observation period table getting some overall statistics in a summarised_result object.
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plotObservationPeriod()
- Create a plot from the output of summariseObservationPeriod().
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tableObservationPeriod()
- Create a visual table from a summariseObservationPeriod() result.
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summariseConceptIdCounts()
- Summarise concept use in patient-level data. Only concepts recorded during observation period are counted.
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tableConceptIdCounts()
- Create a visual table from a summariseConceptIdCounts() result.
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tableTopConceptCounts()
- Create a visual table of the most common concepts from
summariseConceptIdCounts()
output. This function takes asummarised_result
object and generates a formatted table highlighting the most frequent concepts.
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summariseTrend()
- Summarise temporal trends in OMOP tables
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tableTrend()
- Create a visual table from a summariseTrend() result.
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plotTrend()
- Create a ggplot2 plot from the output of summariseTrend().
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mockOmopSketch()
- Creates a mock database to test OmopSketch package.
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databaseCharacteristics()
- Summarise Database Characteristics for OMOP CDM
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shinyCharacteristics()
- Generate an interactive Shiny application that visualises the results obtained from the
databaseCharacteristics()
function.
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summariseConceptCounts()
deprecated - Summarise concept counts in patient-level data. Only concepts recorded during observation period are counted.
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summariseConceptSetCounts()
- Summarise concept counts in patient-level data. Only concepts recorded during observation period are counted.
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plotConceptSetCounts()
- Plot the concept counts of a summariseConceptSetCounts output.
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summariseRecordCount()
- Summarise record counts of an omop_table using a specific time interval. Only records that fall within the observation period are considered.
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plotRecordCount()
- Create a ggplot of the records' count trend.
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tableRecordCount()
- Create a visual table from a summariseRecordCount() result.
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summariseInObservation()
- Summarise the number of people in observation during a specific interval of time.
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plotInObservation()
- Create a ggplot2 plot from the output of summariseInObservation().
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tableInObservation()
- Create a visual table from a summariseInObservation() result.