Summary method for the conjoint function

# S3 method for conjoint
summary(object, show = "", mc_diag = FALSE,
  additional = FALSE, dec = 3, ...)

Arguments

object

Return value from conjoint

show

Level in by variable to analyze (e.g., a specific respondent)

mc_diag

Shows multicollinearity diagnostics.

additional

Show additional regression results

dec

Number of decimals to show

...

further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/multivariate/conjoint.html for an example in Radiant

See also

conjoint to generate results

plot.conjoint to plot results

Examples

result <- conjoint(mp3, rvar = "Rating", evar = "Memory:Shape") summary(result, mc_diag = TRUE)
#> Conjoint analysis #> Data : mp3 #> Response variable : Rating #> Explanatory variables: Memory, Radio, Size, Price, Shape #> #> Conjoint part-worths: #> Attributes Levels PW #> Memory 4GB 0.000 #> Memory 6GB 7.667 #> Memory 8GB 29.667 #> Radio No 0.000 #> Radio Yes 6.111 #> Size Large 0.000 #> Size Medium 6.333 #> Size Small 8.500 #> Price $50 0.000 #> Price $100 -6.833 #> Price $150 -33.833 #> Shape Circular 0.000 #> Shape Rectangular -27.833 #> Shape Square -13.333 #> Base utility ~ 58.111 #> #> Conjoint importance weights: #> Attributes IW #> Memory 0.280 #> Radio 0.058 #> Size 0.080 #> Price 0.319 #> Shape 0.263 #> #> Conjoint regression results: #> #> coefficient #> (Intercept) 58.111 #> Memory|6GB 7.667 #> Memory|8GB 29.667 #> Radio|Yes 6.111 #> Size|Medium 6.333 #> Size|Small 8.500 #> Price|$100 -6.833 #> Price|$150 -33.833 #> Shape|Rectangular -27.833 #> Shape|Square -13.333 #> #> Multicollinearity diagnostics: #> Memory Radio Size Price Shape #> VIF 1 1 1 1 1 #> Rsq 0 0 0 0 0