model_hedonic: Run hedonic analysis

In priviere/PPBstats: An R package to perform analysis found within PPB programmes

Description

model_hedonic runs hedonic analysis

Usage

model_hedonic(data)

Arguments

data	data is a data frame. It should come from format_data_PPBstats.data_organo_hedonic

Details

An anova is run on "note". A Correspondence Analysis is run with FactoMineR::CA

More information can be found in the book : https://priviere.github.io/PPBstats_book/hedonic.html

Value

It returns a list with three elements:

• model : the result of the anova run on note

• CA the result of the correspondance analysis run on the data set with the supplementary variables with FactoMineR::CA.

• HCPC the result of the correspondane analysis run on the data set with the supplementary variables with FactoMineR::PCA follow by FactoMineR::HCPC. It is a list of three elements:

  • res.pca the results of the PCA

  • res.hcpc the results of the HCPC

  • clust the cluster found with the HCPC

See Also

• check_model

• check_model.fit_model_hedonic

priviere/PPBstats documentation built on May 6, 2021, 1:20 a.m.