rsp function(s) to reconfigure data.frames (and similar
object classes) for use with data and functions in respeciate.
rsp_build_x(x, profile_id, profile_name, species_name, species_id, value, ...)
rsp_build_simx(m, n = 1, ...)data.frame or similar (i.e.
something that can be coerced into a data.frame using
as.data.frame) to be converted into a respeciate object.
(character) The names of the columns
in x containing profile names and identifiers, respectively. If not
already named according to respeciate conventions, at least one
of these will need to be assigned.
(character) The names of the columns
in x containing species name and identifiers, respectively. If not
already named according to respeciate conventions, at least one of these will
need to be assigned.
(character) The name of the column in x
containing measurement values. If not already named according to respeciate
conventions, this will need to be assigned.
(any other arguments) currently ignored.
respeciate data set of source profiles intended to be used
as the source profiles (or M) matrix when building a simulated data set for
use with a PLS model (see rsp_pls_x)
a numeric object, e.g. a vector, matrix, data.frame or
a similar object that can be coerced into a data.frame of suitable
dimensions for use as the source strength matrix (N) to build a simulated data set for
use with a PLS model (see rsp_pls_x).
rsp_builds attempt to build and return a respeciate-like
object that can be directly compared with data from respeciate.
rsp_build_x is the standard object builder.
rsp_build_simx builds a simulation of an x data set based on
the `linear combination of profiles` model applied in conventional source
apportionment. (See below and rsp_pls_x)
If you want to compare your data with profiles in the respeciate archive,
you need respeciate conventions when assigning species names and
identifiers. We are working on options to improve on this (and
very happy to discuss if anyone has ideas), but current best suggestion is:
(1) identify the respeciate species code for each of the species in
your data set, and (2) assign these as species_code when rsp_building.
The function will then associate the species_name from respeciate
species records.