ordr (version 0.1.1)

methods-svd: Functionality for singular value decompositions

Description

These methods extract data from, and attribute new data to, objects of class "svd_ord" returned by svd_ord().

Usage

# S3 method for svd_ord
as_tbl_ord(x)
# S3 method for svd_ord
recover_rows(x)
# S3 method for svd_ord
recover_cols(x)
# S3 method for svd_ord
recover_inertia(x)
# S3 method for svd_ord
recover_coord(x)
# S3 method for svd_ord
recover_conference(x)
# S3 method for svd_ord
recover_aug_rows(x)
# S3 method for svd_ord
recover_aug_cols(x)
# S3 method for svd_ord
recover_aug_coord(x)

Value

The recovery generics recover_*() return core model components, distribution of inertia, supplementary elements, and intrinsic metadata; but they require methods for each model class to tell them what these components are.

The generic as_tbl_ord() returns its input wrapped in the 'tbl_ord' class. Its methods determine what model classes it is allowed to wrap. It then provides 'tbl_ord' methods with access to the recoverers and hence to the model components.

Arguments

x

An ordination object.

See Also

Other methods for singular value decomposition-based techniques: methods-cancor, methods-correspondence, methods-lda, methods-lra, methods-mca, methods-prcomp, methods-princomp

Other models from the base package: methods-eigen

Examples

# matrix of U.S. personal expenditure data
class(USPersonalExpenditure)
print(USPersonalExpenditure)
# singular value decomposition into row and column coordinates
USPersonalExpenditure %>%
  svd_ord() %>%
  as_tbl_ord() %>%
  print() -> spend_svd

# recover matrices of row and column coordinates
get_rows(spend_svd)
get_cols(spend_svd)

# augment with row and column names
augment_ord(spend_svd)
# initial matrix decomposition confers no inertia to coordinates
get_conference(spend_svd)