Package index
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stat_pca() - Principal Component Analysis for morphometric data
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stat_lda() - Linear Discriminant Analysis for morphometric data
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stat_lm() - Linear Model for morphometric data
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stat_kmeans() - K-means clustering for morphometric data
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stat_hclust() - Hierarchical clustering for morphometric data
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collect() - Collect results from statistical analyses
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transduce() - Transduce model positions to coefficients and shapes
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morphospace_axes() - Morphospace visualization: shapes along axes
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morphospace_centroids() - Morphospace visualization: group centroids
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morphospace_grid() - Morphospace visualization: uniform grid
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morphospace_range() - Morphospace visualization: data range grid
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collect() - Collect results from statistical analyses
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collect(<stat_hclust>) - Collect cluster assignments from hierarchical clustering
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collect(<stat_kmeans>) - Collect cluster assignments from k-means
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collect(<stat_lm>) - Collect fitted values from linear model
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plot(<stat_hclust>) - Plot hierarchical clustering tree
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plot(<stat_kmeans>) - Plot k-means clustering results
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plot(<stat_lm>) - Plot linear model results
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predict(<stat_lda>) - Predict method for LDA
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predict(<stat_pca>) - Predict method for PCA
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transduce(<stat_hclust>) - Transduce hierarchical clustering nodes to shapes
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transduce(<stat_kmeans>) - Transduce k-means cluster centers to shapes
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transduce(<stat_lm>) - Transduce linear model positions to shapes
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transduce() - Transduce model positions to coefficients and shapes
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collect(<stat_lda>) - Collect predictions and LD scores from LDA results
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collect(<stat_pca>) - Collect PC scores from PCA results
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plot(<stat_lda>) - Plot LDA results
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plot(<stat_pca>) - Plot PCA results
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collect(<stat_meanshape>) - Collect mean shapes and add to original data
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plot(<stat_meanshape>) - Plot mean shapes
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stat_meanshape() - Calculate mean (or aggregated) shapes