cjoint (version 2.0.3)

summary.amce: Summarizing AMCE estimates

Description

summary method for class "amce"

Usage

## S3 method for class 'amce':
summary(object, covariate.values=NULL, ...)

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

Arguments

object

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

covariate.values

An optional list containing a vector at which conditional effects will be calculated in the case of AMCE and ACIE's conditional on respondent-varying characteristics. The class of the values in the vector must match the class of the respondent-varying cha

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
• amce
  A dataframe containing AMCE estimates and standard errors. Each row corresponds to a single attribute-level effect.
• baselines_amce
  Baseline levels for each attribute relative to which the AMCEs are calculated.
• acie
  A dataframe containing ACIE estimates and standard errors, if any. Each row corresponds to a single attribute-level effect.
• baselines_acie
  Baseline levels for each attribute relative to which the ACIEs are calculated.
• baselines_amce_resp
  Baseline levels for conditional AMCE estimates, if any, relative to which interactions are calculated.
• baselines_acie_resp
  Baseline levels for conditional ACIE estimates, if any, relative to which interactions are calculated.
• samplesize_estimates
  The number of valid profiles (rows) in the dataset when only effects of profile varying attributes are calculated.
• samplesize_resp
  The number of valid profiles (rows) in the dataset when respondent-varying characteristics are incorporated.
• numrespondents
  The number of respondents in the dataset (if a respondent.id argument was passed to amce)
• table_values_amce
  A dataframe giving the names of additional tables of AMCE estimates conditional on respondent-varying characteristics. A separate table is produced for each level of each respondent varying characteristic.
• table_values_acie
  A dataframe giving the names of tables of ACIE estimates conditional on respondent-varying characteristics. A separate table is produced for each level of each respondent varying characteristic.

See Also

The estimation function amce.

Examples

#Results with respondent-varying characteristics
results <-amce(Chosen_Immigrant ~ Gender + Education + Education:ethnocentrism +
	`Country of Origin`+ `Country of Origin`:ethnocentrism + Job +
	Job:ethnocentrism + `Job Experience` + `Job Experience`:ethnocentrism,
	data=immigrationconjoint, design=immigrationdesign,cluster=FALSE,
	respondent.varying="ethnocentrism", na.ignore=TRUE)

#Calculate conditional estimates at user-supplied levels
int.vals<-list()
int.vals[["ethnocentrism"]]<-c(60,77,88,99,45)
summary(results, covariate.values = int.vals)