Overview | Data | Fixed Variable Frame: moveplot() | Static faceted display | Animated display | Dynamic Frame: moveplot2() | Static faceted display (unaligned) | Static faceted display (aligned) | Automated Alignment: moveplot3() | Consensus target (target = NULL) | User-supplied target (target = Africa_climate_target) | Evaluation | Numerical measures | Fit measures over time | Bias measures over time | Additional Examples | Alternative use of time.var | Customising aesthetics | Custom colour palette and axis label size | Custom plotting characters and opacity | References

What is a PCA biplot | The function biplot() | Using biplot() with princomp() or prcomp() | The functions PCA(), plot() and legend.type() | The function samples() | The function means() | The function axes() | The functions fit.measures() and summary() | Quality of approximation | Adequacy of representation of the variables | Predictivities | Axis predictivity | Sample predictivity | Axes represented as vectors | References

What is a Correspondence Analysis? | CA biplot | Coordinates | Lambda scaling | Measures of fit | The function CA() | Variant="Princ" | Variant="Stand" | Variant="Symmetric" | Interpolating new samples | Aesthetics and legend | Additional example | References

One-dimensional PCA biplot | One-dimensional CVA biplot | Classification using classify() | One-dimensional CA biplot | The function interpolate() | The function newsamples() | The function newaxes() | The function prediction() | Predicting Samples | Predicting Group Means | Ellipses and Alpha bags | The function density1D() | The function legend.type() | The function fit.measures() | References

PCA 3D biplot | Adding new samples | Adding new variables | Predicting samples | Predicting group means | Ellipses | CVA 3d biplot | CA 3D biplot

What is a CVA biplot | The function CVA() | The function means() | The function classify() | The functions fit.measures() and summary() | Overall quality of fit | Adequacy of representation of variables | Predictivity | Between class predictivity | Axis predictivity | Class predictivity | Within class predictivity | Within class axis predictivity | Within class sample predictivity | Additional CVA dimensions | Analysis of Distance (AoD) | References

Introduction | The function alpha.bags() | The function ellipses() | The function density2D() | The functions interpolate() with newsamples() and newaxes() | The function prediction() | The functions reflect() and rotate() | Zooming in on the biplot with zoom = TRUE in plot() | The function translate_axes()

What is MDS | Regression biplot | Principal Coordinate Analysis (PCO) biplots | References