View source: R/dimtypicality.R
dimtypicality | R Documentation |
Computes typicality tests for a list of supplementary variables of a MCA.
dimtypicality(resmca, vars, dim = c(1,2), max.pval = 1)
resmca |
object of class |
vars |
a data frame of supplementary variables |
dim |
the axes for which typicality tests are computed. Default is c(1,2) |
max.pval |
only categories with a p-value lower or equal to |
Returns a list of data frames giving the typicality test statistics and p-values of the supplementary categories for the different axes.
Nicolas Robette
Le Roux B. and Rouanet H., Multiple Correspondence Analysis, SAGE, Series: Quantitative Applications in the Social Sciences, Volume 163, CA:Thousand Oaks (2010).
Le Roux B. and Rouanet H., Geometric Data Analysis: From Correspondence Analysis to Stuctured Data Analysis, Kluwer Academic Publishers, Dordrecht (June 2004).
dimdescr
, dimeta2
, dimcontrib
# specific MCA on Music example data set
data(Music)
junk <- c("FrenchPop.NA", "Rap.NA", "Rock.NA", "Jazz.NA", "Classical.NA")
mca <- speMCA(Music[,1:5], excl = junk)
# typicality tests for gender and age
dimtypicality(mca, Music[, c("Gender", "Age")])
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