AFDM {FactoMineR} | R Documentation |
Performs Multiple Factor Analysis with both quantitative and qualitative data.
AFDM (base, ncp = 5, graph = TRUE, sup.var = NULL, ind.sup = NULL, axes = c(1,2), row.w = NULL)
base |
a data frame with n rows (individuals) and p columns |
ncp |
number of dimensions kept in the results (by default 5) |
graph |
boolean, if TRUE a graph is displayed |
ind.sup |
a vector indicating the indexes of the supplementary individuals |
sup.var |
a vector indicating the indexes of the supplementary variables |
axes |
a length 2 vector specifying the components to plot |
row.w |
an optional row weights (by default, uniform row weights) |
Returns a list including:
eig |
a matrix containing all the eigenvalues, the percentage of variance and the cumulative percentage of variance |
link.group |
|
group |
|
ind |
a list of matrices with all the results for the individuals (coordinates, square cosine, contributions) |
quali.var |
a list of matrices with all the results for the qualitative variables (coordinates, square cosine, contributions, v.test) |
quanti.var |
a list of matrices with all the results for the quantitative variables (coordinates, correlation, square cosine, contributions) |
call |
a list with some statistics |
Returns the individuals factor map.
Francois Husson Francois.Husson@agrocampus-ouest.fr, Jeremy Mazet
Pages J. (2004). Analyse factorielle de donnees mixtes. Revue Statistique Appliquee. LII (4). pp. 93-111.
## Not run: data(wine) res.afdm = AFDM(wine[,c(1,2,30,31)]) ## End(Not run)