test: Hypothesis testing of the partial association coefficients

In PAsso: Assessing the Partial Association Between Ordinal Variables

Description

This function use bootstrapping to conduct hypothesis testing for the partial association coefficients. It directly applies onto the "PAsso" class of object generated by "PAsso".

Usage

test(object, bootstrap_rep = 300, H0 = 0, parallel = FALSE)

Arguments

object	An object of "PAsso" class, which is generated by "PAsso" function.
bootstrap_rep	The number of bootstrap replications. It may be slow.
H0	null hypothesis of partial correlation coefficient.
parallel	logical argument whether conduct parallel for bootstrapping partial association.

Examples

# Import ANES2016 data in "PAsso"
data(ANES2016)
# Parial association:
PAsso_2v <- PAsso(responses = c("PreVote.num", "PID"),
                adjustments = c("income.num", "age", "edu.year"),
                data = ANES2016)

summary(PAsso_2v, digits=4)

PAsso_2v_test <- test(object = PAsso_2v, bootstrap_rep=20, H0=0, parallel=FALSE)
PAsso_2v_test

PAsso documentation built on June 18, 2021, 5:09 p.m.