{ "_id": "6ab850f299f7aa8c6aa350d7", "Package": "bgfanalyzer", "Type": "Package", "Title": "Analyze Microbial Biogas Fermentation Data", "Version": "1.1.0", "Authors@R": "c(\nperson(\n\"Maximilian\", \"Strick\",\nemail = \"maximilianb.strick@gmail.com\",\nrole = c(\"aut\", \"cre\",\"cph\")\n)\n)", "Description": "Provides a new S3 class object and relevant methods to\nanalyze biogas fermentation data. It includes three workflows.\nOne is specialized to a commercially available lab-scale\nfermentation system (see e.g. Nwaigwe (2018)\n). The second provides more\nflexibility and allows to import data from plain text files.\nThe last workflow offers the most flexibility as it doesn't\nexpect external input files but relays on interactive user\ninput. Although the focus is set on biogas fermentations,\nconcepts and workflows may be also applicable to other\nfermentations even if not a gaseous product is measured.\nFurthermore, it provides functions that bridge to established\nplot engines (e.g. 'ggplot2' or 'plotly') for data\nvisualisation. 'bgfanalyzer' catches up an idea of Hafner et\nal. (2018) of using R to\nstandardize research within the biogas field. For more details\non standardization efforts within the biogas research field see\nHollinger et al. (2016) and\nHollinger et al. 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