ConfInterval {npclust} | R Documentation |
Confidence Interval
Description
Construct confidence intervals for effect sizes.
Usage
ConfInterval(object, level, side="two.sided",
adjust=NULL)
Arguments
object |
a fitted model object from ncda(). |
level |
the confidence level required. |
side |
a character string specifying the side of the confidence bound, must be one of "two.sided" (default), "left" or "right". |
adjust |
an optional character string specifying the multiple adjustment method, by default there is no adjustment, if specified, must be one of "Bonferroni" or "Working-Hotelling". You can specify just the initial letter. |
Value
A list or a vector. If the confidence interval is two-sided, lower and upper bounds are stored in lists for each nonparametric effect size estimate. Otherwise, the lower/upper bounds are stored in vectors in the order of the effect size estimates.
Examples
skin_analysis <- ncda(score~tx, skin, intervention, subject,
indicator=c("control","treatment"),
Contrast=matrix(c(1,-1), nrow = 1))
ConfInterval(skin_analysis,0.95)
ARTIS_analysis <- ncda(emot_pqol~tx, ARTIS, intervention, homeid,
indicator = c("0","1"))
ConfInterval(ARTIS_analysis,0.95)
ConfInterval(ARTIS_analysis,0.95,"two.sided","B")
ConfInterval(ARTIS_analysis,0.95,"left","W")
[Package npclust version 0.1.0 Index]