ard_effectsize_hedges_g: ARD Hedge's G Test

In cardx: Extra Analysis Results Data Utilities

ARD Hedge's G Test

Description

Analysis results data for paired and non-paired Hedge's G Effect Size Test using effectsize::hedges_g().

Usage

ard_effectsize_hedges_g(data, by, variables, conf.level = 0.95, ...)

ard_effectsize_paired_hedges_g(data, by, variables, id, conf.level = 0.95, ...)

Arguments

data	(data.frame) a data frame. See below for details.
by	(tidy-select) column name to compare by. Must be a categorical variable with exactly two levels.
variables	(tidy-select) column names to be compared. Must be a continuous variable. Independent tests will be run for each variable
conf.level	(scalar numeric) confidence level for confidence interval. Default is 0.95.
...	arguments passed to effectsize::hedges_g(...)
id	(tidy-select) column name of the subject or participant ID

Details

For the ard_effectsize_hedges_g() function, the data is expected to be one row per subject. The data is passed as effectsize::hedges_g(data[[variable]]~data[[by]], data, paired = FALSE, ...).

For the ard_effectsize_paired_hedges_g() function, the data is expected to be one row per subject per by level. Before the effect size is calculated, the data are reshaped to a wide format to be one row per subject. The data are then passed as ⁠effectsize::hedges_g(x = data_wide[[<by level 1>]], y = data_wide[[<by level 2>]], paired = TRUE, ...)⁠.

Value

ARD data frame

Examples

cards::ADSL |>
  dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |>
  ard_effectsize_hedges_g(by = ARM, variables = AGE)

# constructing a paired data set,
# where patients receive both treatments
cards::ADSL[c("ARM", "AGE")] |>
  dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |>
  dplyr::mutate(.by = ARM, USUBJID = dplyr::row_number()) |>
  dplyr::arrange(USUBJID, ARM) |>
  dplyr::group_by(USUBJID) |>
  dplyr::filter(dplyr::n() > 1) |>
  ard_effectsize_paired_hedges_g(by = ARM, variables = AGE, id = USUBJID)

cardx documentation built on Sept. 11, 2024, 9:12 p.m.