factoextra (version 1.0.7)

get_hmfa: 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

Examples

# NOT RUN {
# 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
 
# }