Package index • CohortCharacteristics

Summarise patient characteristic standard function

summariseCharacteristics(): Summarise characteristics of cohorts in a cohort table

summariseCohortAttrition(): Summarise attrition associated with cohorts in a cohort table

summariseCohortCount(): Summarise counts for cohorts in a cohort table

summariseCohortOverlap(): Summarise overlap between cohorts in a cohort table

summariseCohortTiming(): Summarise timing between entries into cohorts in a cohort table

summariseLargeScaleCharacteristics(): This function is used to summarise the large scale characteristics of a cohort table

Create visual tables from summarised objects

tableCharacteristics() experimental: Format a summarise_characteristics object into a visual table.

tableCohortAttrition() experimental: Create a visual table from the output of summariseCohortAttrition.

tableCohortCount() experimental: Format a summarise_characteristics object into a visual table.

tableCohortOverlap() experimental: Format a summariseOverlapCohort result into a visual table.

tableCohortTiming() experimental: Format a summariseCohortTiming result into a visual table.

tableLargeScaleCharacteristics() experimental: Format a summarise_large_scale_characteristics object into a visual table.

availableTableColumns(): Available columns to use in header, groupColumn and hide arguments in table functions.

Generate ggplot2 plots from summarised_result objects

Functions to generate plots (ggplot2) from summarised objects.

plotCharacteristics() experimental: Create a ggplot from the output of summariseCharacteristics.

plotCohortAttrition() experimental: create a ggplot from the output of summariseLargeScaleCharacteristics.

plotCohortCount() experimental: Plot the result of summariseCohortCount.

plotCohortOverlap() experimental: Plot the result of summariseCohortOverlap.

plotCohortTiming() experimental: Plot summariseCohortTiming results.

plotComparedLargeScaleCharacteristics() experimental: create a ggplot from the output of summariseLargeScaleCharacteristics.

plotLargeScaleCharacteristics() experimental: create a ggplot from the output of summariseLargeScaleCharacteristics.

availablePlotColumns(): Available columns to use in facet and colour arguments in plot functions.

Benchmark

benchmarkCohortCharacteristics(): Benchmark the main functions of CohortCharacteristics package.

Helper functions

mockCohortCharacteristics(): It creates a mock database for testing CohortCharacteristics package