| 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