GeomAxis |
ggproto classes created and adapted for ordr |
GeomIsoline |
ggproto classes created and adapted for ordr |
GeomLineranges |
ggproto classes created and adapted for ordr |
GeomOrigin |
ggproto classes created and adapted for ordr |
GeomPointranges |
ggproto classes created and adapted for ordr |
GeomTextRadiate |
ggproto classes created and adapted for ordr |
GeomUnitCircle |
ggproto classes created and adapted for ordr |
GeomVector |
ggproto classes created and adapted for ordr |
geom_axis |
Axes through the origin |
geom_cols_axis |
Convenience geoms for row and column matrix factors |
geom_cols_isoline |
Convenience geoms for row and column matrix factors |
geom_cols_label |
Convenience geoms for row and column matrix factors |
geom_cols_label_repel |
Convenience geoms for row and column matrix factors |
geom_cols_lineranges |
Convenience geoms for row and column matrix factors |
geom_cols_path |
Convenience geoms for row and column matrix factors |
geom_cols_point |
Convenience geoms for row and column matrix factors |
geom_cols_pointranges |
Convenience geoms for row and column matrix factors |
geom_cols_polygon |
Convenience geoms for row and column matrix factors |
geom_cols_text |
Convenience geoms for row and column matrix factors |
geom_cols_text_radiate |
Convenience geoms for row and column matrix factors |
geom_cols_text_repel |
Convenience geoms for row and column matrix factors |
geom_cols_vector |
Convenience geoms for row and column matrix factors |
geom_isoline |
Isolines (contour lines) |
geom_lineranges |
Intervals depicting ranges, usually about center points |
geom_origin |
Crosshairs or circle at the origin |
geom_pointranges |
Intervals depicting ranges, usually about center points |
geom_rows_axis |
Convenience geoms for row and column matrix factors |
geom_rows_isoline |
Convenience geoms for row and column matrix factors |
geom_rows_label |
Convenience geoms for row and column matrix factors |
geom_rows_label_repel |
Convenience geoms for row and column matrix factors |
geom_rows_lineranges |
Convenience geoms for row and column matrix factors |
geom_rows_path |
Convenience geoms for row and column matrix factors |
geom_rows_point |
Convenience geoms for row and column matrix factors |
geom_rows_pointranges |
Convenience geoms for row and column matrix factors |
geom_rows_polygon |
Convenience geoms for row and column matrix factors |
geom_rows_text |
Convenience geoms for row and column matrix factors |
geom_rows_text_radiate |
Convenience geoms for row and column matrix factors |
geom_rows_text_repel |
Convenience geoms for row and column matrix factors |
geom_rows_vector |
Convenience geoms for row and column matrix factors |
geom_text_radiate |
Text radiating outward from the origin |
geom_unit_circle |
Unit circle |
geom_vector |
Vectors from the origin |
get_cols |
Access factors, coordinates, and metadata from ordination objects |
get_conference |
Confer inertia to factors of a 'tbl_ord' object |
get_coord |
Access factors, coordinates, and metadata from ordination objects |
get_inertia |
Access factors, coordinates, and metadata from ordination objects |
get_negation |
Negation of ordination axes |
get_rows |
Access factors, coordinates, and metadata from ordination objects |
ggbiplot |
Biplots following the grammar of graphics |
glance.tbl_ord |
Tidiers for 'tbl_ord' objects |
glass |
Glass composition data |
recoverers |
Access factors, coordinates, and metadata from ordination objects |
recover_aug_cols |
Augment factors and coordinates of 'tbl_ord' objects |
recover_aug_cols.cancor_ord |
Functionality for canonical correlations |
recover_aug_cols.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_aug_cols.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_aug_cols.eigen_ord |
Functionality for eigen-decompositions |
recover_aug_cols.factanal |
Functionality for factor analysis ('factanal') objects |
recover_aug_cols.kmeans |
Functionality for k-means clustering ('kmeans') objects |
recover_aug_cols.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_aug_cols.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_aug_cols.lm |
Functionality for linear model objects |
recover_aug_cols.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_aug_cols.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_aug_cols.mlm |
Functionality for linear model objects |
recover_aug_cols.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_aug_cols.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_aug_cols.svd_ord |
Functionality for singular value decompositions |
recover_aug_coord |
Augment factors and coordinates of 'tbl_ord' objects |
recover_aug_coord.cancor_ord |
Functionality for canonical correlations |
recover_aug_coord.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_aug_coord.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_aug_coord.eigen |
Functionality for eigen-decompositions |
recover_aug_coord.eigen_ord |
Functionality for eigen-decompositions |
recover_aug_coord.factanal |
Functionality for factor analysis ('factanal') objects |
recover_aug_coord.kmeans |
Functionality for k-means clustering ('kmeans') objects |
recover_aug_coord.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_aug_coord.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_aug_coord.lm |
Functionality for linear model objects |
recover_aug_coord.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_aug_coord.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_aug_coord.mlm |
Functionality for linear model objects |
recover_aug_coord.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_aug_coord.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_aug_coord.svd_ord |
Functionality for singular value decompositions |
recover_aug_rows |
Augment factors and coordinates of 'tbl_ord' objects |
recover_aug_rows.cancor_ord |
Functionality for canonical correlations |
recover_aug_rows.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_aug_rows.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_aug_rows.eigen_ord |
Functionality for eigen-decompositions |
recover_aug_rows.factanal |
Functionality for factor analysis ('factanal') objects |
recover_aug_rows.glm |
Functionality for linear model objects |
recover_aug_rows.kmeans |
Functionality for k-means clustering ('kmeans') objects |
recover_aug_rows.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_aug_rows.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_aug_rows.lm |
Functionality for linear model objects |
recover_aug_rows.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_aug_rows.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_aug_rows.mlm |
Functionality for linear model objects |
recover_aug_rows.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_aug_rows.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_aug_rows.svd_ord |
Functionality for singular value decompositions |
recover_cols |
Access factors, coordinates, and metadata from ordination objects |
recover_cols.cancor_ord |
Functionality for canonical correlations |
recover_cols.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_cols.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_cols.data.frame |
Access factors, coordinates, and metadata from ordination objects |
recover_cols.default |
Access factors, coordinates, and metadata from ordination objects |
recover_cols.eigen |
Functionality for eigen-decompositions |
recover_cols.eigen_ord |
Functionality for eigen-decompositions |
recover_cols.factanal |
Functionality for factor analysis ('factanal') objects |
recover_cols.kmeans |
Functionality for k-means clustering ('kmeans') objects |
recover_cols.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_cols.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_cols.lm |
Functionality for linear model objects |
recover_cols.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_cols.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_cols.mlm |
Functionality for linear model objects |
recover_cols.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_cols.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_cols.svd_ord |
Functionality for singular value decompositions |
recover_conference |
Confer inertia to factors of a 'tbl_ord' object |
recover_conference.cancor_ord |
Functionality for canonical correlations |
recover_conference.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_conference.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_conference.default |
Confer inertia to factors of a 'tbl_ord' object |
recover_conference.eigen |
Functionality for eigen-decompositions |
recover_conference.eigen_ord |
Functionality for eigen-decompositions |
recover_conference.factanal |
Functionality for factor analysis ('factanal') objects |
recover_conference.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_conference.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_conference.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_conference.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_conference.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_conference.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_conference.svd_ord |
Functionality for singular value decompositions |
recover_coord |
Access factors, coordinates, and metadata from ordination objects |
recover_coord.cancor_ord |
Functionality for canonical correlations |
recover_coord.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_coord.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_coord.data.frame |
Access factors, coordinates, and metadata from ordination objects |
recover_coord.default |
Access factors, coordinates, and metadata from ordination objects |
recover_coord.eigen |
Functionality for eigen-decompositions |
recover_coord.eigen_ord |
Functionality for eigen-decompositions |
recover_coord.factanal |
Functionality for factor analysis ('factanal') objects |
recover_coord.kmeans |
Functionality for k-means clustering ('kmeans') objects |
recover_coord.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_coord.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_coord.lm |
Functionality for linear model objects |
recover_coord.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_coord.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_coord.mlm |
Functionality for linear model objects |
recover_coord.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_coord.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_coord.svd_ord |
Functionality for singular value decompositions |
recover_inertia |
Access factors, coordinates, and metadata from ordination objects |
recover_inertia.cancor_ord |
Functionality for canonical correlations |
recover_inertia.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_inertia.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_inertia.default |
Access factors, coordinates, and metadata from ordination objects |
recover_inertia.eigen |
Functionality for eigen-decompositions |
recover_inertia.eigen_ord |
Functionality for eigen-decompositions |
recover_inertia.factanal |
Functionality for factor analysis ('factanal') objects |
recover_inertia.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_inertia.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_inertia.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_inertia.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_inertia.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_inertia.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_inertia.svd_ord |
Functionality for singular value decompositions |
recover_rows |
Access factors, coordinates, and metadata from ordination objects |
recover_rows.cancor_ord |
Functionality for canonical correlations |
recover_rows.cmds_ord |
Functionality for classical multidimensional scaling objects |
recover_rows.correspondence |
Functionality for correspondence analysis ('correspondence') objects |
recover_rows.data.frame |
Access factors, coordinates, and metadata from ordination objects |
recover_rows.default |
Access factors, coordinates, and metadata from ordination objects |
recover_rows.eigen |
Functionality for eigen-decompositions |
recover_rows.eigen_ord |
Functionality for eigen-decompositions |
recover_rows.factanal |
Functionality for factor analysis ('factanal') objects |
recover_rows.kmeans |
Functionality for k-means clustering ('kmeans') objects |
recover_rows.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_rows.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_rows.lm |
Functionality for linear model objects |
recover_rows.lra |
Functionality for log-ratio analysis ('lra') objects |
recover_rows.mca |
Functionality for multiple correspondence analysis ('mca') objects |
recover_rows.mlm |
Functionality for linear model objects |
recover_rows.prcomp |
Functionality for principal components analysis ('prcomp') objects |
recover_rows.princomp |
Functionality for principal components analysis ('princomp') objects |
recover_rows.svd_ord |
Functionality for singular value decompositions |
recover_supp_cols |
Supplement 'tbl_ord' objects with new data |
recover_supp_cols.cancor_ord |
Functionality for canonical correlations |
recover_supp_cols.default |
Supplement 'tbl_ord' objects with new data |
recover_supp_rows |
Supplement 'tbl_ord' objects with new data |
recover_supp_rows.cancor_ord |
Functionality for canonical correlations |
recover_supp_rows.default |
Supplement 'tbl_ord' objects with new data |
recover_supp_rows.factanal |
Functionality for factor analysis ('factanal') objects |
recover_supp_rows.lda |
Functionality for linear discriminant analysis ('lda') objects |
recover_supp_rows.lda_ord |
Functionality for linear discriminant analysis ('lda') objects |
recover_supp_rows.mca |
Functionality for multiple correspondence analysis ('mca') objects |
rename_cols |
*dplyr* verbs for tbl_ord factors |
rename_rows |
*dplyr* verbs for tbl_ord factors |
revert_conference |
Confer inertia to factors of a 'tbl_ord' object |
revert_negation |
Negation of ordination axes |