cor.from.t: Computes Pearson correlation between paired measurements from...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes Pearson correlation between paired measurements from t statistic

Description

This function computes the Pearson correlation between paired measurements using a reported paired-samples t statistic and other sample information. This correlation estimate is needed in several functions that analyze mean differences and standardized mean differences in paired-samples studies.

Usage

cor.from.t(m1, m2, sd1, sd2, t, n)

Arguments

m1	estimated mean for measurement 1
m2	estimated mean for measurement 2
sd1	estimated standard deviation for measurement 1
sd2	estimated standard deviation for measurement 2
t	value for paired-samples t-test
n	sample size

Value

Returns the sample Pearson correlation between the two paired measurements

Examples

cor.from.t(9.4, 9.8, 1.26, 1.40, 2.27, 30)

# Should return:
#                Estimate
# Correlation:  0.7415209

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.