filterGroup: Filter the group_name-group_level pair in a summarised_result

In visOmopResults: Graphs and Tables for OMOP Results

Filter the group_name-group_level pair in a summarised_result

Description

Filter the group_name-group_level pair in a summarised_result

Usage

filterGroup(result, ...)

Arguments

result	A ⁠<summarised_result>⁠ object.
...	Expressions that return a logical value (groupColumns() are used to evaluate the expression), and are defined in terms of the variables in .data. If multiple expressions are included, they are combined with the & operator. Only rows for which all conditions evaluate to TRUE are kept.

Value

A ⁠<summarised_result>⁠ object with only the rows that fulfill the required specified group.

Examples

library(dplyr)
library(omopgenerics)

x <- tibble(
  "result_id" = 1L,
  "cdm_name" = "eunomia",
  "group_name" = c("cohort_name", "age_group &&& cohort_name", "age_group"),
  "group_level" = c("my_cohort", ">40 &&& second_cohort", "<40"),
  "strata_name" = "sex",
  "strata_level" = "Female",
  "variable_name" = "number subjects",
  "variable_level" = NA_character_,
  "estimate_name" = "count",
  "estimate_type" = "integer",
  "estimate_value" = c("100", "44", "14"),
  "additional_name" = "overall",
  "additional_level" = "overall"
) |>
  newSummarisedResult()

x |>
  filterGroup(cohort_name == "second_cohort")

visOmopResults documentation built on Sept. 24, 2024, 1:08 a.m.