conf.limits.nct: MBESS Confidence limits for a noncentrality parameter from a...

In debruine/pipeline: Machine-Readable Studies

Description

Function to determine the noncentrality parameters necessary to form a confidence interval around the population noncentrality parameter and related parameters.

Usage

conf.limits.nct(ncp, df, conf.level = 0.95, alpha.lower = NULL,
  alpha.upper = NULL, t.value, tol = 1e-09, sup.int.warns = TRUE,
  ...)

Arguments

ncp	the noncentrality parameter (e.g., observed t-value) of interest.
df	the degrees of freedom.
conf.level	the level of confidence for a symmetric confidence interval.
alpha.lower	the proportion of values beyond the lower limit of the confidence interval (cannot be used with conf.level).
alpha.upper	the proportion of values beyond the upper limit of the confidence interval (cannot be used with conf.level).
t.value	alias for ncp
tol	is the tolerance of the iterative method for determining the critical values.
sup.int.warns	Suppress internal warnings (from internal functions): TRUE or FALSE
...	allows one to potentially include parameter values for inner functions

Value

Lower.Limit Value of the distribution with Lower.Limit noncentral value that has at its specified quantile F.value Prob.Less.Lower Proportion of the distribution beyond (i.e., less than) Lower.Limit Upper.Limit Value of the distribution with Upper.Limit noncentral value that has at its specified quantile F.value Prob.Greater.Upper Proportion of the distribution beyond (i.e., larger than) Upper.Limit

debruine/pipeline documentation built on May 8, 2019, 8:59 a.m.