check_dsm: Validate Internal Structure of DSM Object (wordspace)

In wordspace: Distributional Semantic Models in R

Validate Internal Structure of DSM Object (wordspace)

Description

Validate the internal structure of a DSM object and return a list with information about the object.

Usage

check.dsm(model, validate = FALSE, nonneg.check = FALSE)

Arguments

model	an object of class dsm
validate	carry out extended validation of internal consistency? (may be expensive)
nonneg.check	if TRUE, check the co-occurrence (M) and/or score (S) matrix for non-negativity (may be expensive)

Value

Aborts with error message if any inconsistency is detected. Otherwise a list with the following items is returned:

nrow	number of rows (target terms) of the DSM
ncol	number of columns (features) of the DSM
N	sample size of the underlying data set (may be NA)
M$ok	whether co-occurrence frequency matrix M is available
M$sparse	whether M is sparse or dense (only present if M$ok)
M$canonical	whether M is in canonical DSM format (only present if M$ok)
M$nonneg	whether M is non-negative (only present if M$ok, and may be NA unless nonneg.check=TRUE was specified)
S$ok	whether score matrix S is available
S$sparse	whether S is sparse or dense (only present if S$ok)
S$canonical	whether S is in canonical DSM format (only present if S$ok)
S$nonneg	whether S is non-negative (only present if S$ok, and may be NA unless nonneg.check=TRUE was specified)
locked	TRUE if matrix combines data with inconsistent row or column marginals (in this case, association scores cannot be computed any more)

Author(s)

Stephanie Evert (https://purl.org/stephanie.evert)

See Also

dsm, print.dsm

Examples

check.dsm(DSM_TermTerm)

wordspace documentation built on Sept. 9, 2022, 3:04 p.m.