Script from "Comparing Quantile Regression Spline analyses and Supervised Machine Learning for environmental quality assessment at coastal marine aquaculture installations"

This zip archive contains data and R code used in the manuscript 'Comparing Quantile Regression Spline analyses and Supervised Machine Learning for environmental quality assessment at coastal marine aquaculture installations' by Kleopatra Leontidou, Verena Rubel, Thorsten Stoeck. <br> It contains a data folder with the datasets used for Quantile Regression Spline analyses and Supervised Machine Learning, R code for the Quantile Regression Splines Analysis and for the production of the figures shown in the results section and R code for the Supervised Machine Learning analysis. <br> Description of data files: Two 'asv table' datasets were used (Norway_asvtable.csv, Scotland_asvtable.csv), one of which included all samples from seven Norwegian salmon farms (n = 138) and one including all samples (n=92) from seven Scottish salmon farms. The 'asv table' datasets include as rows the Amplicon Sequence Variants (ASVs), as columns the samples (corresponding to the Sample column in the 'metadata' datasets) and as cell values the number of sequence reads. The 'metadata' datasets (Norway_metadata.csv, Scotland_metadata.csv) include as rows the samples and as columns information about the samples. The data folder includes also data from Supervised Machine Learning analysis (table_of_predictions_relab_norway.csv, table_of_predictions_relab_scotland.csv, varimp_mean_nor.csv, varimp_mean_sco.csv). <br>