cjoint (version 2.0.0)

summary.amce: Summarizing AMCE estimates

Description

summary method for class "amce"

Usage

## S3 method for class 'amce':
summary(object, interaction.values=NULL, show.all=FALSE, ...)

## S3 method for class 'summary.amce':
print(x, digits=5, ...)

Arguments

object

An object of class "amce", a result of a call to amce.

interaction.values

An optional list containing a vector at which interaction effects will be calculated in the case of interactions with respondent-varying characteristics. If the "amce" object contains respondent varying characteristics, by default interaction effects will

show.all

A logical asking if attributes that are not part of respondent-varying interactions should also have their estimates reported at different levels of the respondent-varying variable.

x

An object of class "summary.amce", a result of a call to summary.amce.

digits

The number of significant digits to use when printing.

...

Further arguments from other methods.

Value

• The function summary.amce computes and returns formatted data frames of effect estimates returned by amce
• estimates
  A dataframe containing AMCE estimates and standard errors. Each row corresponds to a single attribute-level effect.
• acie
  A dataframe containing ACIE estimates and standard errors. Each row corresponds to a single attribute-level effect. Separate data frames are produced for each level of interactions with respondent-varying characteristics.
• baselines.amce
  Baseline levels for each attribute relative to which the AMCEs are calculated.
• baselines.acie
  Baseline levels for each attribute relative to which the ACIEs are calculated.
• baselines.resp
  Baseline levels for each respondent-varying factor variable, if any, relative to which interactions are calculated.
• samplesize
  The number of profiles (rows) in the dataset
• numrespondents
  The number of respondents in the dataset (if a respondent.id argument was passed to amce)

See Also

The estimation function amce.