eval_function {dbGaPCheckup} | R Documentation |
Evaluation Utility Function
Description
This function generates a textual and graphical report of the selected variables.
Usage
eval_function(
dataset,
dictionary,
sex.split = FALSE,
sex.name = NULL,
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 |
Name of the Sex field. |
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.
[Package dbGaPCheckup version 1.1.0 Index]