docs/corr.os.md

In cwendorf/dgb: DGB

Correlations

ci.corr.os

Computes a confidence interval for a Pearson correlation.

Arguments: - alpha: alpha level for 1-alpha confidence - corr: sample value of correlation - n: sample size

Values: - lower limit, upper limit

alpha = .05
corr = .802
n = 200
ci.corr.os(alpha, corr, n)

## [1] 0.7463000 0.8465456

size.ci.corr.os

Computes sample size required to estimate a correlation with desired precision.

Arguments: - alpha: alpha level for 1-alpha confidence - corr: planning value of correlation - w: desired confidence interval width

Values: - required sample size

alpha = .05
corr = .52
w = .2
size.ci.corr.os(alpha, corr, w)

## [1] 207

cwendorf/dgb documentation built on May 3, 2022, 9:35 p.m.