simCI {MANOVA.RM}

Multivariate post-hoc comparisons and simultaneous confidence intervals for contrasts in multivariate factorial designs

Description

Multivariate post-hoc comparisons and simultaneous confidence intervals for contrasts in multivariate factorial designs

Usage

simCI(
  object,
  contrast,
  contmat = NULL,
  type = NULL,
  base = 1,
  interaction = TRUE,
  factor = NA,
  silent = FALSE,
  ...
)

Arguments

object

A MANOVA object.

contrast

The contrast matrix of interest, can either be "pairwise" or "user-defined".

contmat

If contrast = "user-defined", the contrast matrix must be specified here. Note that its rows must sum to zero.

type

If contrast is "pairwise", the type of the pairwise comparison must be specified here. Calculation is based on the contrMat function in package multcomp, see the corresponding help page for details on the types of contrasts available.

base

An integer specifying which group is considered the baseline group for Dunnett contrasts, see contrMat.

interaction

Logical. If interaction = FALSE in models with more than one factor, the factor of interest for the post-hoc analysis must be specified. Default is TRUE, which means post-hoc tests are performed for all factor level combinations.

factor

Only needed if interaction = FALSE. Specifies the factor for which post-hoc analysis are requested.

silent

Set to TRUE to suppress output.

...

Not used yet.

Details

The simCI() function computes the multivariate p-values for the chosen contrast of the multivariate mean vector based on the bootstrap version of the sum statistic. Details on this test can be found in Friedrich and Pauly (2018). Furthermore, confidence intervals for summary effects (i.e., averaged over each dimension), also based on the bootstrap version of the sum statistic, are returned as well.

Value

Multivariate p-values and simultaneous confidence intervals for the chosen contrasts.

References

Friedrich, S., and Pauly, M. (2018). MATS: Inference for potentially singular and heteroscedastic MANOVA. Journal of Multivariate Analysis, 165, 166-179.

See Also

contrMat