A B C D E F G I L M N O P Q R S T U V W
annotation | Annotate factors of 'tbl_ord' objects |
as.matrix.tbl_ord | Access factors, coordinates, and metadata from ordination objects |
as_tbl_ord | A unified ordination object class |
as_tbl_ord.cancor_ord | Functionality for canonical correlations |
as_tbl_ord.cmds_ord | Functionality for classical multidimensional scaling objects |
as_tbl_ord.correspondence | Functionality for correspondence analysis ('correspondence') objects |
as_tbl_ord.eigen | Functionality for eigen-decompositions |
as_tbl_ord.eigen_ord | Functionality for eigen-decompositions |
as_tbl_ord.factanal | Functionality for factor analysis ('factanal') objects |
as_tbl_ord.kmeans | Functionality for k-means clustering ('kmeans') objects |
as_tbl_ord.lda | Functionality for linear discriminant analysis ('lda') objects |
as_tbl_ord.lda_ord | Functionality for linear discriminant analysis ('lda') objects |
as_tbl_ord.lm | Functionality for linear model objects |
as_tbl_ord.lra | Functionality for log-ratio analysis ('lra') objects |
as_tbl_ord.mca | Functionality for multiple correspondence analysis ('mca') objects |
as_tbl_ord.prcomp | Functionality for principal components analysis ('prcomp') objects |
as_tbl_ord.princomp | Functionality for principal components analysis ('princomp') objects |
as_tbl_ord.svd_ord | Functionality for singular value decompositions |
as_tbl_ord.tbl_ord | A unified ordination object class |
augmentation | Augment factors and coordinates of 'tbl_ord' objects |
augment_ord | Augment factors and coordinates of 'tbl_ord' objects |
biplot-geoms | Convenience geoms for row and column matrix factors |
biplot-stats | Convenience stats for row and column matrix factors |
biplot.lra | Log-ratio analysis |
biplot.tbl_ord | Plot and biplot methods for 'tbl_ord' objects |
cancor_ord | Wrappers for lossy ordination methods |
cbind_cols | *dplyr* verbs for tbl_ord factors |
cbind_rows | *dplyr* verbs for tbl_ord factors |
cmdscale_ord | Wrappers for lossy ordination methods |
conference | Confer inertia to factors of a 'tbl_ord' object |
confer_inertia | Confer inertia to factors of a 'tbl_ord' object |
CoordScaffold | ggproto classes created and adapted for ordr |
coord_scaffold | Convenience coordinate system for scaffolding axes |
dim.tbl_ord | Access factors, coordinates, and metadata from ordination objects |
dplyr-verbs | *dplyr* verbs for tbl_ord factors |
draw-key | Biplot key drawing functions |
draw_key_crosslines | Biplot key drawing functions |
draw_key_crosspoint | Biplot key drawing functions |
draw_key_line | Biplot key drawing functions |
eigen_ord | Wrappers for lossy ordination methods |
format | Format a tbl_ord for printing |
format.tbl_ord | Format a tbl_ord for printing |
fortify.tbl_ord | Tidiers for 'tbl_ord' objects |
GeomInterpolation | ggproto classes created and adapted for ordr |
GeomOrigin | ggproto classes created and adapted for ordr |
GeomUnitCircle | ggproto classes created and adapted for ordr |
geom_cols_axis | Convenience geoms for row and column matrix factors |
geom_cols_bagplot | Convenience geoms for row and column matrix factors |
geom_cols_contour | Convenience geoms for row and column matrix factors |
geom_cols_density_2d | Convenience geoms for row and column matrix factors |
geom_cols_density_2d_filled | Convenience geoms for row and column matrix factors |
geom_cols_interpolation | 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_rule | 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_interpolation | Render interpolation of new rows from columns (or vice-versa) |
geom_origin | Marker or unit circle at the origin |
geom_rows_axis | Convenience geoms for row and column matrix factors |
geom_rows_bagplot | Convenience geoms for row and column matrix factors |
geom_rows_contour | Convenience geoms for row and column matrix factors |
geom_rows_density_2d | Convenience geoms for row and column matrix factors |
geom_rows_density_2d_filled | Convenience geoms for row and column matrix factors |
geom_rows_interpolation | 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_rule | 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_unit_circle | Marker or unit circle at 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 |
is.tbl_ord | A unified ordination object class |
is_tbl_ord | A unified ordination object class |
lda-ord | Augmented implementation of linear discriminant analysis |
lda_ord | Augmented implementation of linear discriminant analysis |
lda_ord.data.frame | Augmented implementation of linear discriminant analysis |
lda_ord.default | Augmented implementation of linear discriminant analysis |
lda_ord.formula | Augmented implementation of linear discriminant analysis |
lda_ord.matrix | Augmented implementation of linear discriminant analysis |
left_join_cols | *dplyr* verbs for tbl_ord factors |
left_join_rows | *dplyr* verbs for tbl_ord factors |
lra | Log-ratio analysis |
lra-ord | Log-ratio analysis |
make_tbl_ord | A unified ordination object class |
methods-cancor | Functionality for canonical correlations |
methods-cmds | Functionality for classical multidimensional scaling objects |
methods-correspondence | Functionality for correspondence analysis ('correspondence') objects |
methods-eigen | Functionality for eigen-decompositions |
methods-factanal | Functionality for factor analysis ('factanal') objects |
methods-kmeans | Functionality for k-means clustering ('kmeans') objects |
methods-lda | Functionality for linear discriminant analysis ('lda') objects |
methods-lm | Functionality for linear model objects |
methods-lra | Functionality for log-ratio analysis ('lra') objects |
methods-mca | Functionality for multiple correspondence analysis ('mca') objects |
methods-prcomp | Functionality for principal components analysis ('prcomp') objects |
methods-princomp | Functionality for principal components analysis ('princomp') objects |
methods-svd | Functionality for singular value decompositions |
model.frame.lda_ord | Augmented implementation of linear discriminant analysis |
mutate_cols | *dplyr* verbs for tbl_ord factors |
mutate_rows | *dplyr* verbs for tbl_ord factors |
negate_ord | Negation of ordination axes |
negate_to_first_orthant | Negation of ordination axes |
negation | Negation of ordination axes |
ordinate | Fit an ordination model to a data object |
ordinate.array | Fit an ordination model to a data object |
ordinate.data.frame | Fit an ordination model to a data object |
ordinate.default | Fit an ordination model to a data object |
ordinate.dist | Fit an ordination model to a data object |
ordinate.table | Fit an ordination model to a data object |
ordr-ggproto | ggproto classes created and adapted for ordr |
ord_aes | Biplots following the grammar of graphics |
plot.lra | Log-ratio analysis |
plot.tbl_ord | Plot and biplot methods for 'tbl_ord' objects |
predict.lda_ord | Augmented implementation of linear discriminant analysis |
print.lra | Log-ratio analysis |
print.tbl_ord | Format a tbl_ord for printing |
pull_cols | *dplyr* verbs for tbl_ord factors |
pull_factor | *dplyr* verbs for tbl_ord factors |
pull_rows | *dplyr* verbs for tbl_ord factors |
qswur_usa | U.S. university rankings |
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 |
recover_supp_rows.princomp | Functionality for principal components analysis ('princomp') 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 |
screeplot.lra | Log-ratio analysis |
screeplot.tbl_ord | Plot and biplot methods for 'tbl_ord' objects |
select_cols | *dplyr* verbs for tbl_ord factors |
select_rows | *dplyr* verbs for tbl_ord factors |
StatCols | ggproto classes created and adapted for ordr |
StatColsBagplot | ggproto classes created and adapted for ordr |
StatColsCenter | ggproto classes created and adapted for ordr |
StatColsChull | ggproto classes created and adapted for ordr |
StatColsCone | ggproto classes created and adapted for ordr |
StatColsDensity2d | ggproto classes created and adapted for ordr |
StatColsDensity2dFilled | ggproto classes created and adapted for ordr |
StatColsDepth | ggproto classes created and adapted for ordr |
StatColsDepthFilled | ggproto classes created and adapted for ordr |
StatColsEllipse | ggproto classes created and adapted for ordr |
StatColsPeel | ggproto classes created and adapted for ordr |
StatColsProjection | ggproto classes created and adapted for ordr |
StatColsRule | ggproto classes created and adapted for ordr |
StatColsScale | ggproto classes created and adapted for ordr |
StatColsSpantree | ggproto classes created and adapted for ordr |
StatColsStar | ggproto classes created and adapted for ordr |
StatProjection | ggproto classes created and adapted for ordr |
StatRows | ggproto classes created and adapted for ordr |
StatRowsBagplot | ggproto classes created and adapted for ordr |
StatRowsCenter | ggproto classes created and adapted for ordr |
StatRowsChull | ggproto classes created and adapted for ordr |
StatRowsCone | ggproto classes created and adapted for ordr |
StatRowsDensity2d | ggproto classes created and adapted for ordr |
StatRowsDensity2dFilled | ggproto classes created and adapted for ordr |
StatRowsDepth | ggproto classes created and adapted for ordr |
StatRowsDepthFilled | ggproto classes created and adapted for ordr |
StatRowsEllipse | ggproto classes created and adapted for ordr |
StatRowsPeel | ggproto classes created and adapted for ordr |
StatRowsProjection | ggproto classes created and adapted for ordr |
StatRowsRule | ggproto classes created and adapted for ordr |
StatRowsScale | ggproto classes created and adapted for ordr |
StatRowsSpantree | ggproto classes created and adapted for ordr |
StatRowsStar | ggproto classes created and adapted for ordr |
stat_cols | Render plot elements for one matrix of an ordination |
stat_cols_bagplot | Convenience stats for row and column matrix factors |
stat_cols_center | Convenience stats for row and column matrix factors |
stat_cols_chull | Convenience stats for row and column matrix factors |
stat_cols_cone | Convenience stats for row and column matrix factors |
stat_cols_density_2d | Convenience stats for row and column matrix factors |
stat_cols_density_2d_filled | Convenience stats for row and column matrix factors |
stat_cols_depth | Convenience stats for row and column matrix factors |
stat_cols_depth_filled | Convenience stats for row and column matrix factors |
stat_cols_ellipse | Convenience stats for row and column matrix factors |
stat_cols_peel | Convenience stats for row and column matrix factors |
stat_cols_projection | Convenience stats for row and column matrix factors |
stat_cols_rule | Convenience stats for row and column matrix factors |
stat_cols_scale | Convenience stats for row and column matrix factors |
stat_cols_spantree | Convenience stats for row and column matrix factors |
stat_cols_star | Convenience stats for row and column matrix factors |
stat_projection | Project rows onto columns or vice-versa |
stat_rows | Render plot elements for one matrix of an ordination |
stat_rows_bagplot | Convenience stats for row and column matrix factors |
stat_rows_center | Convenience stats for row and column matrix factors |
stat_rows_chull | Convenience stats for row and column matrix factors |
stat_rows_cone | Convenience stats for row and column matrix factors |
stat_rows_density_2d | Convenience stats for row and column matrix factors |
stat_rows_density_2d_filled | Convenience stats for row and column matrix factors |
stat_rows_depth | Convenience stats for row and column matrix factors |
stat_rows_depth_filled | Convenience stats for row and column matrix factors |
stat_rows_ellipse | Convenience stats for row and column matrix factors |
stat_rows_peel | Convenience stats for row and column matrix factors |
stat_rows_projection | Convenience stats for row and column matrix factors |
stat_rows_rule | Convenience stats for row and column matrix factors |
stat_rows_scale | Convenience stats for row and column matrix factors |
stat_rows_spantree | Convenience stats for row and column matrix factors |
stat_rows_star | Convenience stats for row and column matrix factors |
supplementation | Supplement 'tbl_ord' objects with new data |
svd_ord | Wrappers for lossy ordination methods |
tbl_ord | A unified ordination object class |
theme_biplot | Scaffolding theme |
theme_scaffold | Scaffolding theme |
tidiers | Tidiers for 'tbl_ord' objects |
tidy.tbl_ord | Tidiers for 'tbl_ord' objects |
transmute_cols | *dplyr* verbs for tbl_ord factors |
transmute_rows | *dplyr* verbs for tbl_ord factors |
un_tbl_ord | A unified ordination object class |
valid_tbl_ord | A unified ordination object class |
wrap-ord | Wrappers for lossy ordination methods |