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getcoeffs() in the
clifford package## function (C, B)
## {
## out <- c_getcoeffs(L = terms(C), c = coeffs(C), m = maxyterm(C),
## B = list_modifier(B))
## names(out) <- lapply(B, catterm)
## return(out)
## }
To cite the clifford package in publications please use
Hankin (2025). This short
document discusses function getcoeffs() in the
clifford R package which, as its name suggests, retrieves
specific coefficients from a clifford object. It is a relatively
low-level helper function that is a wrapper for a C
routine. It takes as arguments a clifford object and a list of
terms:
## Element of a Clifford algebra, equal to
## + 5 + 6e_1 - 9e_12 - 3e_14 + 3e_26 - 6e_126 + 1e_236 - 1e_56 + 4e_156
## e_12 e_0 e_25 e_156 e_26 e_12
## -9 5 0 4 3 -9
Note that the first and last element of the returned vector are both
the coefficient of \(e_{12}\),
viz. -9. The coefficients are returned in the form
of a numeric vector [not a disord object: the order of the
elements is determined by the order of argument B]. Compare
standard extraction, e.g. a[index], which returns a
clifford object. Also, compare coeffs() which
extracts all coefficients of a clifford object:
## A disord object with hash 681f24ec6d47e08867661a199b1ce8e46c01be0c and elements
## [1] 5 6 -9 -3 3 -6 1 -1 4
## (in some order)
The index for the constant is formally list(numeric(0)),
but this is a pain to type, so there is special dispensation for
argument B having list elements of zero, which are
translated by helper function list_modifier() to
numeric(0) and listified if necessary. The upshot is that a
zero list element in argument B works as expected
extracting the constant. Also, passing B=0 works as
expected, returning the constant (there is no need to coerce to a list:
coercion is performed by list_modifier). A similar scheme
is used in the square bracket extraction and replacement methods
Attempting to extract a coefficient of a term that includes a
negative index will throw an error. The coefficient of a term including
an index larger than indicated by maxyterm() will return
zero.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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