fixedHajnal.onet_es {NAP} | R Documentation |
Fixed-design one-sample t
-tests using Hajnal's ratio for varied sample sizes
Description
In two-sided fixed design one-sample t
-tests with composite alternative prior assumed on the standardized effect size \mu/\sigma
under the alternative, this function calculates the expected log(Hajnal's ratio) at a prefixed standardized effect size for a varied range of sample sizes.
Usage
fixedHajnal.onet_es(es = 0, es1 = 0.3, nmin = 20, nmax = 5000,
batch.size.increment, nReplicate = 50000)
Arguments
es |
Numeric. Standardized effect size where the expected weights of evidence is desired. Default: |
es1 |
Positive numeric. Default: |
nmin |
Positive integer. Minimum sample size to be considered. Default: 20. |
nmax |
Positive integer. Maximum sample size to be considered. Default: 5000. |
batch.size.increment |
Positive numeric. Increment in sample size. The sequence of sample size thus considered for the fixed design test is from |
nReplicate |
Positve integer. Number of replicated studies based on which the expected weights of evidence is calculated. Default: 50,000. |
Value
A list with two components named summary
and BF
.
$summary
is a data frame with columns n
containing the values of sample sizes and avg.logBF
containing the expected log(Hajnal's ratios) at those values.
$BF
is a matrix of dimension number of sample sizes considered
by nReplicate
. Each row contains the Hajnal's ratios at the corresponding sample size in nReplicate
replicated studies.
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
out = fixedHajnal.onet_es(nmax = 100)