rsp_match_profile compares a supplied respeciate
profile (or similar data set) and a reference set of supplied profiles
and attempts to identify nearest matches on the
basis of similarity.
rsp_match_profile(
rsp,
ref,
matches = 10,
rescale = 5,
min.n = 8,
method = "pd",
test.rsp = FALSE
)A respeciate object or similar data.frame containing
a species profile to be compared with profiles in ref. If rsp
contains more than one profile, these are averaged (using
rsp_average_profile), and the average compared.
A respeciate object, a data.frame containing a
multiple species profiles, to be used as reference library when identifying
nearest matches for rsp.
Numeric (default 10), the maximum number of profile matches to report.
Numeric (default 5), the data scaling method to apply before
comparing rsp and profiles in ref: options 0 to 5 handled by
rsp_rescale.
numeric (default 8), the minimum number of paired
species measurements in two profiles required for a match to be assessed.
See also rsp_cor_species.
Character (default 'pd'), the similarity measure to use, current options 'pd', the Pearson's Distance (1 - Pearson's correlation coefficient), or 'sid', the Standardized Identity Distance (See References).
Logical (default FALSE). The match process self-tests by adding
rsp to ref, which should generate a perfect fit=0 score. Setting
test.rsp to TRUE retains this as an extra record.
rsp_match_profile returns a fit report: a data.frame of
up to n fit reports for the nearest matches to rsp from the
reference profile data set, ref.
Distance metrics are based on recommendations by Belis et al (2015) and as implemented in Mooibroek et al (2022):
Belis, C.A., Pernigotti, D., Karagulian, F., Pirovano, G., Larsen, B.R., Gerboles, M., Hopke, P.K., 2015. A new methodology to assess the performance and uncertainty of source apportionment models in intercomparison exercises. Atmospheric Environment, 119, 35–44. https://doi.org/10.1016/j.atmosenv.2015.08.002.
Mooibroek, D., Sofowote, U.M. and Hopke, P.K., 2022. Source apportionment of ambient PM10 collected at three sites in an urban-industrial area with multi-time resolution factor analyses. Science of The Total Environment, 850, p.157981. http://dx.doi.org/10.1016/j.scitotenv.2022.157981.