autoLab

labels

method

allowSmallOverlap

trace

shadotext

doPlot

<p>further arguments passed to or from other methods</p>

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<p>Function to better position the labels on the graphs.</p>

dplot

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. F. Husson, S. Le and J. Pages (2017).

Francois Husson

FactoMineR

Multivariate Exploratory Data Analysis and Data Mining

autoLab function

Function to better position the labels on the graphs — autoLab

Function to better position the labels on the graphs

autoLab: Function to better position the labels on the graphs

Description

Usage

Arguments

Value