internalCheckNBCSummary: Check arguments for summary.nbc()

In rrwen/nbc4va: Bayes Classifier for Verbal Autopsy Data

Check arguments for summary.nbc()

Description

Performs checks to ensure that the arguments passed to summary.nbc are correct. This function will perform automatic data type conversions, and display warnings when appropriate.

Usage

internalCheckNBCSummary(object, top = 5, id = NULL, csmfa.obs = NULL, ...)

Arguments

object	The result nbc object.
top	A number that produces top causes depending on id: If (id is char): provide the top causes of the case by probability If (id is NULL): provide the top causes by predicted Cause Specific Mortality Fractions (CSMF)
id	A character representing a case id in the test data.
csmfa.obs	A character vector of the true causes for calculating the CSMF accuracy.
...	Additional arguments to be passed if applicable

Details

The following checks are applied:

• object is of class "nbc"

• top is a numeric value of length 1

• id is NULL or a character of length 1, and exists in the test data

• csmfa.obs is NULL or a character or vector of characters

Value

out A list object containing the checked inputs:

• $object: an nbc object

• $top: numeric value

• $id: NULL or character value

• $csmfa.obs: NULL or character vector

See Also

Other validation functions: internalCheckNBC()

Examples

library(nbc4va)
data(nbc4vaData)

# Create an nbc
train <- nbc4vaData[1:50, ]
test <- nbc4vaData[51:100, ]
results <- nbc(train, test)

# Check the inputs before passing on to summary
checked <- nbc4va::internalCheckNBCSummary(results, 5, "g85")
results <- checked$object
top <- checked$top
id <- checked$id
csmfa.obs <- checked$csmfa.obs

rrwen/nbc4va documentation built on May 11, 2022, 9:45 p.m.