Summary method for the conjoint function
# S3 method for conjoint summary(object, show = "", mc_diag = FALSE, additional = FALSE, dec = 3, ...)
object | Return value from |
---|---|
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 |
See https://radiant-rstats.github.io/docs/multivariate/conjoint.html for an example in Radiant
conjoint
to generate results
plot.conjoint
to plot results
#> 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