Six character variables were selected though stepwise multiple linear regression (stepwise-MLR), which included MATS6m, RDF055e, Mor31u, G3m, R1m and R4v +.
The same routine can be observed for the k, therefore; d p was chosen as a representative parameter among particle character variables for the prediction of recovery and k.
In particular, character variables were transformed to dummy variable.
Point shape and line type are discrete aesthetics, which means that they cannot be mapped to numeric variables (must be either factor or character variables).
The combined dataset (CAL + ITS) yielded a sequence alignment of 1,397 positions, including 866 invariable characters, 232 variable parsimony-informative sites (16.6%), and 185 variable singletons.
The ratio of parsimony-informative characters and variable characters was 0.521 (intron), 0.496 (exon + intron), and 0.427 (exon), respectively.
Aligned sequences of CAL were 729 bp long, including 355 invariable characters, 216 variable parsimony-informative (29.6%), and 133 singletons.
Two hundred and ninety-seven of the 670 characters were variable, of which 127 were parsimony informative, corresponding to 18.95% of the aligned length.
