corr.ss: Sample size planning for a desired Pearson's correlation...

Description Usage Arguments Details Author(s) References Examples

View source: R/corr.ss.R

Description

Find the required (sufficient) sample size for computing a Pearson correlation coefficient with a desired confidence interval (Olivoto et al., 2018).

Usage

1
corr.ss(r, CI)

Arguments

r

The magnitude of the correlation coefficient.

CI

The half-width for confidence interval at p < 0.05.

Details

The required (sufficient) sample size is computed as follows:

n = [CI_w/ 0.45304^r \times 2.25152]^{-0.50089}

where CI_w is desired confidence interval and r is the correlation coefficient.

Author(s)

Tiago Olivoto [email protected]

References

Olivoto, T., A.D.C. Lucio, V.Q. Souza, M. Nardino, M.I. Diel, B.G. Sari, D.. K. Krysczun, D. Meira, and C. Meier. 2018. Confidence interval width for Pearson's correlation coefficient: a Gaussian-independent estimator based on sample size and strength of association. Agron. J. 110:1-8. doi:10.2134/agronj2017.09.0566.

Examples

1
corr.ss(r = 0.60, CI = 0.1)

TiagoOlivoto/WAASB documentation built on April 1, 2019, 10:25 a.m.