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

In TiagoOlivoto/WAASB: Multi Environment Trials Analysis

Sample size planning for a desired Pearson's correlation confidence interval

Description

Find the required (sufficient) sample size for computing a Pearson correlation coefficient with a desired confidence interval (Olivoto et al., 2018) as follows \loadmathjax \mjsdeqnn = \left[ \fracCI_w0.45304^r \times 2.25152 \right]^\rm - 0\rm.50089

where \mjseqnCI_w is desired confidence interval and \mjseqnr is the correlation coefficient.

Usage

corr_ss(r, CI, verbose = TRUE)

Arguments

r	The magnitude of the correlation coefficient.
CI	The half-width for confidence interval at p < 0.05.
verbose	Logical argument. If verbose = FALSE the code is run silently.

Author(s)

Tiago Olivoto [e-mail]

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2134/agronj2016.04.0196")}

Examples

corr_ss(r = 0.60, CI = 0.1)

TiagoOlivoto/WAASB documentation built on March 20, 2024, 4:18 p.m.