Takes the configured data, removes any excluded studies and returns subsets of the data to be passed to other functions. — setup_exclude • metainsight

Takes the configured data, removes any excluded studies and returns subsets of the data to be passed to other functions.

Usage

setup_exclude(configured_data, exclusions, async = FALSE)

Arguments

configured_data: list. Input dataset created by setup_configure() or setup_exclude()
exclusions: character. Vector of study names to exclude.
async: Whether or not the function is being used asynchronously. Default FALSE

Value

configured_data containing:

treatments: dataframe. Treatment names and IDs
reference_treatment: character. The selected reference treatment
connected_data: dataframe. A subset of the data containing only connected studies
covariate: A list containing these items if covariate data exists or else empty:

cross: Crosses
circle_open: Open circles
none: No symbols in which case only the plot of direct evidence is

freq: list. Processed data for frequentist analyses created by frequentist()
outcome: character. Whether the data is binary or continuous
outcome_measure: character. Outcome measure of the dataset.
effects: character. Whether the models are fixed or random effects
ranking_option: character. Whether higher values in the data are good or bad
seed: numeric. A seed value to be passed to models

Examples

configured_data_path <- system.file("extdata", "configured_data.Rds", package = "metainsight")
configured_data <- readRDS(configured_data_path)

subsetted_data <- setup_exclude(configured_data = configured_data,
                                exclusions = c("Leo", "Minerva"))