geomorphology


The data used here concern a geomorphology analysis.


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

geomorphology function

A data frame with 75 rows and 11 columns. Rows represent the individuals,
columns represent the different questions. 10 variables are quantitative and one variable is qualitative.
The dataset is analysed in: http://www.sciencedirect.com/science/article/pii/S0169555X11006362

geomorphology: geomorphology(data)

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