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apply_transformations()
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Apply vachette transformations |
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p.add.distances()
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Plot Distances Before and After vachette Transformation Assuming Additive Error Model |
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p.obs.cov()
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Plot Observations and Typical Curves Faceted by Covariate |
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p.obs.excluded()
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Plot Excluded Observations with Reasons for Exclusion |
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p.obs.ref.query()
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Plot Observations and Typical Curves for Query and Reference Data |
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p.prop.distances()
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Plot Distances Before and After vachette Transformation Assuming Proportional Error Model |
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p.scaled.observation.curves.by.id()
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Plot vachette Transformed Observation Curves by Individual |
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p.scaled.observation.curves()
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Plot vachette Transformed Observation Curves |
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p.scaled.typical.curves.landmarks()
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Plot vachette Transformed Typical Curves with Landmarks |
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p.scaled.typical.curves()
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Plot vachette Transformed Typical Curves |
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p.scaled.typical.full.curves.landmarks()
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Plot Full vachette Transformed Typical Curves with Landmarks |
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p.scaling.factor()
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Plot Scaling Factors for Typical Curves |
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p.vachette.arrow()
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Plot Observations and vachette Transformed Observations with Connecting Arrows |
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p.vachette()
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Main Vachette Plot |
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print(<vachette_data>)
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Print vachette_data |
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summary(<vachette_data>)
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Summarise vachette_data |
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vachette_data()
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Initialize vachette object with required data |