HajnalBF_onet {NAP}R Documentation

Hajnal's ratio in one-sample tt tests

Description

In a N(μ,σ2)N(\mu,\sigma^2) population with unknown variance σ2\sigma^2, consider the two-sided one-sample zz-test for testing the point null hypothesis H0:μ=0H_0 : \mu = 0 against H1:μ0H_1 : \mu \neq 0. Based on an observed data, this function calculates the Hajnal's ratio in favor of H1H_1 when the prior assumed on the standardized effect size μ/σ\mu/\sigma under the alternative places equal probability at +δ+\delta and δ-\delta (δ>0\delta>0 prefixed).

Usage

HajnalBF_onet(obs, nObs, mean.obs, sd.obs, test.statistic, es1 = 0.3)

Arguments

obs

Numeric vector. Observed vector of data.

nObs

Numeric or numeric vector. Sample size(s). Same as length(obs) when numeric.

mean.obs

Numeric or numeric vector. Sample mean(s). Same as mean(obs) when numeric.

sd.obs

Positive numeric or numeric vector. Sample standard deviation(s). Same as sd(obs) when numeric.

test.statistic

Numeric or numeric vector. Test-statistic value(s).

es1

Positive numeric. δ\delta as above. Default: 0.30.3. For this, the prior on the standardized effect size μ/σ\mu/\sigma takes values 0.30.3 and 0.3-0.3 each with equal probability 1/2.

Details

Value

Positive numeric or numeric vector. The Hajnal's ratio(s).

Author(s)

Sandipan Pramanik and Valen E. Johnson

References

Hajnal, J. (1961). A two-sample sequential t-test.Biometrika, 48:65-75, [Article].

Schnuerch, M. and Erdfelder, E. (2020). A two-sample sequential t-test.Biometrika, 48:65-75, [Article].

Examples

HajnalBF_onet(obs = rnorm(100))

[Package NAP version 1.1 Index]