getCI: Extract Confidence Intervals from VCA-Objects.

In VCA: Variance Component Analysis

Extract Confidence Intervals from VCA-Objects.

Description

This utility function acutally calls function 'VCAinference' first and then extracts the requested confidence interval (CI) information from the resulting object. You can specify single variance components (VC) or multiple. Not specifying any specific VC will return all.

Usage

getCI(
  obj,
  vc = NULL,
  type = c("vc", "sd", "cv"),
  tail = c("one-sided", "two-sided"),
  conf.level = 0.95,
  quiet = FALSE
)

Arguments

obj	(object) of class "VCA"
vc	(integer, character) specifying which variance component to extract CI for
type	(character) on which scale should results be returned
tail	(character) should one- or two-sided CI be returned
conf.level	(numeric) confidence-level to be used
quiet	(logical) TRUE = suppress additional information to be printed

Author(s)

Andre Schuetzenmeister [e-mail]

Examples

data(dataEP05A2_3)
fit <- remlVCA(y~day/run, dataEP05A2_3)
getCI(fit)				# will return one-sided CI for all VC
getCI(fit, type="cv")	# now on CV-scale
getCI(fit, type="cv", conf.level=.9)
# multiple row at once
getCI(fit, vc=1:3, type="cv")
getCI(fit, vc=c("total", "error"), type="cv")

VCA documentation built on May 29, 2024, 1:48 a.m.