corr_ss | R Documentation |

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.

corr_ss(r, CI, verbose = TRUE)

`r` |
The magnitude of the correlation coefficient. |

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

`verbose` |
Logical argument. If |

Tiago Olivoto tiagoolivoto@gmail.com

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/agronj2016.04.0196

corr_ss(r = 0.60, CI = 0.1)

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