R: Extract the results for individuals/variables/group/partial...

get_hmfa {factoextra} | R Documentation

## Extract the results for individuals/variables/group/partial axes - HMFA

### Description

Extract all the results (coordinates, squared cosine and contributions) for the active individuals/quantitative variables/qualitative variable categories/groups/partial axes from Hierarchical Multiple Factor Analysis (HMFA) outputs.

- get_hmfa(): Extract the results for variables and individuals

- get_hmfa_ind(): Extract the results for individuals only

- get_mfa_var(): Extract the results for variables (quantitatives, qualitatives and groups)

- get_hmfa_partial(): Extract the results for partial.node.

### Usage

    get_hmfa(res.hmfa, element = c("ind", "quanti.var", "quali.var", "group",
      "partial.node"))

    get_hmfa_ind(res.hmfa)

    get_hmfa_var(res.hmfa, element = c("quanti.var", "quali.var", "group"))

    get_hmfa_partial(res.hmfa)

### Arguments

`res.hmfa` | an object of class HMFA [FactoMineR].
`element` | the element to subset from the output. Possible values are "ind", "quanti.var", "quali.var", "group" or "partial.node".

### Value

a list of matrices containing the results for the active individuals, variables, groups and partial nodes, including :

`coord` | coordinates
`cos2` | cos2
`contrib` | contributions

### Author(s)

Alboukadel Kassambara alboukadel.kassambara@gmail.com

Fabian Mundt f.mundt@inventionate.de

### Examples

    # Multiple Factor Analysis
    # ++++++++++++++++++++++++
    # Install and load FactoMineR to compute MFA
    # install.packages("FactoMineR")
    library("FactoMineR")
    data(wine)
    hierar <- list(c(2,5,3,10,9,2), c(4,2))
    res.hmfa <- HMFA(wine, H = hierar, type=c("n",rep("s",5)), graph = FALSE)

     # Extract the results for qualitative variable categories
     var <- get_hmfa_var(res.hmfa, "quali.var")
     print(var)
     head(var$coord) # coordinates of qualitative variables
     head(var$cos2) # cos2 of qualitative variables
     head(var$contrib) # contributions of qualitative variables

     # Extract the results for individuals
     ind <- get_hmfa_ind(res.hmfa)
     print(ind)
     head(ind$coord) # coordinates of individuals
     head(ind$cos2) # cos2 of individuals
     head(ind$contrib) # contributions of individuals

     # You can also use the function get_hmfa()
     get_hmfa(res.hmfa, "ind") # Results for individuals
     get_hmfa(res.hmfa, "quali.var") # Results for qualitative variable categories

[Package factoextra version 1.0.5 Index]