fviz_famd.Rd
Factor analysis of mixed data (FAMD) is, a particular case of
MFA, used to analyze a data set containing both quantitative and
qualitative variables. fviz_famd() provides ggplot2based elegant
visualization of FAMD outputs from the R function: FAMD [FactoMineR].
fviz_famd_ind(): Graph of individuals
fviz_famd_var(): Graph of variables
fviz_famd(): An alias of fviz_famd_ind(res.famd)
fviz_famd_ind(X, axes = c(1, 2), geom = c("point", "text"), repel = FALSE, habillage = "none", palette = NULL, addEllipses = FALSE, col.ind = "blue", col.ind.sup = "darkblue", alpha.ind = 1, shape.ind = 19, col.quali.var = "black", select.ind = list(name = NULL, cos2 = NULL, contrib = NULL), gradient.cols = NULL, ...) fviz_famd_var(X, choice = c("var", "quanti.var", "quali.var"), axes = c(1, 2), geom = c("point", "text"), repel = FALSE, col.var = "red", alpha.var = 1, shape.var = 17, col.var.sup = "darkgreen", select.var = list(name = NULL, cos2 = NULL, contrib = NULL), ...) fviz_famd(X, ...)
X  an object of class FAMD [FactoMineR]. 

axes  a numeric vector of length 2 specifying the dimensions to be plotted. 
geom  a text specifying the geometry to be used for the graph. Allowed
values are the combination of 
repel  a boolean, whether to use ggrepel to avoid overplotting text labels or not. 
habillage  an optional factor variable for coloring the observations by groups. Default value is "none". If X is an MFA object from FactoMineR package, habillage can also specify the index of the factor variable in the data. 
palette  the color palette to be used for coloring or filling by groups. Allowed values include "grey" for grey color palettes; brewer palettes e.g. "RdBu", "Blues", ...; or custom color palette e.g. c("blue", "red"); and scientific journal palettes from ggsci R package, e.g.: "npg", "aaas", "lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty". Can be also a numeric vector of length(groups); in this case a basic color palette is created using the function palette. 
addEllipses  logical value. If TRUE, draws ellipses around the individuals when habillage != "none". 
col.ind, col.var  color for individuals and variables, respectively. Can be a continuous variable or a factor variable. Possible values include also : "cos2", "contrib", "coord", "x" or "y". In this case, the colors for individuals/variables are automatically controlled by their qualities ("cos2"), contributions ("contrib"), coordinates (x^2 + y^2 , "coord"), x values("x") or y values("y"). To use automatic coloring (by cos2, contrib, ....), make sure that habillage ="none". 
col.ind.sup  color for supplementary individuals 
alpha.ind, alpha.var  controls the transparency of individuals and variables, respectively. The value can variate from 0 (total transparency) to 1 (no transparency). Default value is 1. Possible values include also : "cos2", "contrib", "coord", "x" or "y". In this case, the transparency for individual/variable colors are automatically controlled by their qualities ("cos2"), contributions ("contrib"), coordinates (x^2 + y^2 , "coord"), x values("x") or y values("y"). To use this, make sure that habillage ="none". 
shape.ind, shape.var  point shapes of individuals, variables, groups and axes 
col.quali.var  color for qualitative variables in fviz_mfa_ind(). Default is "black". 
select.ind, select.var  a selection of individuals and variables to be drawn. Allowed values are NULL or a list containing the arguments name, cos2 or contrib:

gradient.cols  vector of colors to use for ncolour gradient. Allowed values include brewer and ggsci color palettes. 
...  Arguments to be passed to the function fviz() 
choice  The graph to plot inf fviz_mfa_var(). Allowed values include one of c("var", quanti.var", "quali.var"). 
col.var.sup  color for supplementary variables. 
a ggplot
# Compute FAMD library("FactoMineR") data(wine) res.famd < FAMD(wine[,c(1,2, 16, 22, 29, 28, 30,31)], graph = FALSE) # Eigenvalues/variances of dimensions fviz_screeplot(res.famd)# Graph of variables fviz_famd_var(res.famd)# Quantitative variables fviz_famd_var(res.famd, "quanti.var", repel = TRUE, col.var = "black")# Qualitative variables fviz_famd_var(res.famd, "quali.var", col.var = "black")# Graph of individuals colored by cos2 fviz_famd_ind(res.famd, col.ind = "cos2", gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"), repel = TRUE)