dat_function_selected: Data Selected Utility Function

In dbGaPCheckup: dbGaP Checkup

Data Selected Utility Function

Description

This function calls eval_function to generate a textual and graphical report of the selected variables.

Usage

dat_function_selected(
  dataset,
  dictionary,
  sex.split = FALSE,
  sex.name = NULL,
  start = 1,
  end = 1,
  dataset.na,
  h.level = 2
)

Arguments

dataset	Data set.
dictionary	Data dictionary.
sex.split	When TRUE, split reports by the field named 'Sex'.
sex.name	Character string giving the name of the sex field.
start	Staring index of the first selected trait.
end	Ending index of the last selected trait.
dataset.na	Data set with missing values set to NA.
h.level	Header level for pandoc function.

Value

Invisible NULL, called for its side effects

dbGaPCheckup documentation built on Sept. 27, 2023, 5:06 p.m.