footsize


Dataset for the covariance analysis (a quantitative variable explained by quantitative (continuous) and qualitative (categorical) variables)


datasets

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.

Francois Husson

FactoMineR

Multivariate Exploratory Data Analysis and Data Mining

footsize function

Dataset with 84 rows and 3 columns:
footsize, size and sex

footsize: footsize

Description

Usage

Arguments

Format

Examples