Create a visual table from a summariseMissingData() result
Source:R/tableMissingData.R
tableMissingData.RdCreate a visual table from a summariseMissingData() result
Arguments
- result
A summarised_result object (output of
summariseMissingData()).- type
Character string specifying the desired output table format. See
visOmopResults::tableType()for supported table types. Iftype = NULL, global options (set viavisOmopResults::setGlobalTableOptions()) will be used if available; otherwise, a default 'gt' table is created.- style
Defines the visual formatting of the table. This argument can be provided in one of the following ways:
Pre-defined style: Use the name of a built-in style (e.g., "darwin"). See
visOmopResults::tableStyle()for available options.YAML file path: Provide the path to an existing .yml file defining a new style.
List of custome R code: Supply a block of custom R code or a named list describing styles for each table section. This code must be specific to the selected table type.
If
style = NULL, the function will use global options (seevisOmopResults::setGlobalTableOptions()) or a _brand.yml file (if found); otherwise, the default style is applied.
Examples
# \donttest{
library(OmopSketch)
library(omock)
cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb")
#> ℹ Reading GiBleed tables.
#> ℹ Adding drug_strength table.
#> ℹ Creating local <cdm_reference> object.
#> ℹ Inserting <cdm_reference> into duckdb.
result <- summariseMissingData(
cdm = cdm,
omopTableName = c("condition_occurrence", "visit_occurrence")
)
#> The person table has ≤ 1e+05 subjects; skipping sampling of the CDM.
tableMissingData(result = result)
Summary of missingness in condition_occurrence, visit_occurrence tables
visit_occurrence
condition_occurrence
cdmDisconnect(cdm = cdm)
# }