samplesize.rsq: Sample size estimation in the F tests of variance proportions

Description Usage Arguments Value Author(s) References See Also Examples

Description

samplesize.rsq determines the sample size, when specified the effect size to be detected, desired statistical power, and significance level.

Usage

1
samplesize.rsq(delta, n.ind, power = 0.8, sig.level = 0.05)

Arguments

delta

a numeric contains the effect size (Cohen's R^2) to be detected

n.ind

a numeric contains the number of independent variables

power

a numeric contains the desired statistical power (default 0.80)

sig.level

a numeric contains the significance level (default 0.05)

Value

Return a numeric containing the appropriate sample size.

Author(s)

Yasuyuki Okumura
Department of Social Psychiatry,
National Institute of Mental Health,
National Center of Neurology and Psychiatry
yokumura@blue.zero.jp

References

Cohen J (1988). Statistical power analysis for the behavioral sciences (2nd ed). Hillsdale, NJ: Erlbaum.

See Also

multreg, multreg.second

Examples

1
2
##Cohen (1988) ex.9.18
samplesize.rsq(delta=.16, n.ind=20, power = .90, sig.level=.05)

rpsychi documentation built on May 1, 2019, 10:10 p.m.