fixef.VCA: Extract Fixed Effects from 'VCA' Object.

Description Usage Arguments Details Examples

View source: R/vca.R

Description

Conveniently extracting the 'FixedEffects' element of an 'VCA' object.

Usage

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## S3 method for class 'VCA'
fixef(object, type = c("simple", "complex"),
  ddfm = c("contain", "residual", "satterthwaite"), tol = 1e-12,
  quiet = FALSE, ...)

Arguments

object

(VCA) object where fixed effects shall be extracted

type

(character) string or partial string, specifying whether to return "simple" (reduced) or a rather "complex" (more detailed) information about fixed effects

ddfm

(character) string specifying the method used for computing the degrees of freedom of the t-statistic. Only used when type="complex". Available methods are "contain", "residual", and "satterthwaite".

tol

(numeric) value representing the numeric tolerance use in comparisons, values smaller than 'tol' will be considered equal to 0

quiet

(logical) TRUE = suppress warning messages, e.g. for non-estimable contrasts

...

additional parameters

Details

The default is to return the fixed effects estimates together with their standard errors. If setting 'type="complex"' or to an abbreviation (e.g. "c") additional inferential statistics on these estimates will be returned, i.e. "t Value", "DF" and respective p-value "Pr > |t|". One can choose one of three denominator degrees of freedom ('ddfm')-methods. The implementation of these methods are an attempt to align with the results of SAS PROC MIXED. See the respective SAS-documentation for details.

Examples

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## Not run: 
data(dataEP05A2_1)
fit <- anovaVCA(y~day/(run), dataEP05A2_1)
fixef(fit)

# for complex models it might take some time computing complex output
data(VCAdata1)
fit <- anovaMM(y~(lot+device)/(day)/(run), VCAdata1[VCAdata1$sample==2,])
fixef(fit, "c")

## End(Not run)

VCA documentation built on July 12, 2017, 5:02 p.m.

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