Filter a summarised_result using the settings.
Arguments
- result
A summarised_result object.
- ...
Expressions that return a logical value (columns in settings 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 result_id rows that fulfill the required specified settings.
Examples
library(dplyr)
library(omopgenerics)
x <- tibble(
"result_id" = as.integer(c(1, 2)),
"cdm_name" = c("cprd", "eunomia"),
"group_name" = "sex",
"group_level" = "male",
"strata_name" = "sex",
"strata_level" = "male",
"variable_name" = "Age group",
"variable_level" = "10 to 50",
"estimate_name" = "count",
"estimate_type" = "numeric",
"estimate_value" = "5",
"additional_name" = "overall",
"additional_level" = "overall"
) |>
newSummarisedResult(settings = tibble(
"result_id" = c(1, 2), "custom" = c("A", "B")
))
x
#> # A tibble: 2 × 13
#> result_id cdm_name group_name group_level strata_name strata_level
#> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 1 cprd sex male sex male
#> 2 2 eunomia sex male sex male
#> # ℹ 7 more variables: variable_name <chr>, variable_level <chr>,
#> # estimate_name <chr>, estimate_type <chr>, estimate_value <chr>,
#> # additional_name <chr>, additional_level <chr>
x |> filterSettings(custom == "A")
#> # A tibble: 1 × 13
#> result_id cdm_name group_name group_level strata_name strata_level
#> <int> <chr> <chr> <chr> <chr> <chr>
#> 1 1 cprd sex male sex male
#> # ℹ 7 more variables: variable_name <chr>, variable_level <chr>,
#> # estimate_name <chr>, estimate_type <chr>, estimate_value <chr>,
#> # additional_name <chr>, additional_level <chr>