parameter_groups: Get groups of parameters based on multivariate analysis

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

Description

parameter_groups gets groups of parameters based on multivariate analysis

Usage

parameter_groups(list_out_check_model, parameter)

Arguments

list_out_check_model	A list whose elements are output from check_model
parameter	The parameter on which to get the groups

Details

The function run a PCA on a matrix containing the value of each parameter for each variable.

Clusters are done based on HCPC method with FactoMineR package as explained here http://www.sthda.com/english/wiki/hcpc-hierarchical-clustering-on-principal-components-hybrid-approach-2-2-unsupervised-machine-learning

Value

The function returns a list of two elements:

• obj.pca : the PCA object from FactoMineR::PCA

• clust, a list of two elements:

  • res.hcpc : the HCPC object from FactoMineR::HCPC

  • clust : the dataframe with cluster assigned to each individual

Author(s)

Pierre Riviere

See Also

• check_model

• parameter_groups_model_GxE

• parameter_groups_model_bh_GxE

• parameter_groups_model_anova

• parameter_groups_model_spatial

• plot.parameter_groups

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