Tools that researchers can use to analyze untargeted metabolomics data generated using tandem mass spectroscopy from microbial communities. The overall approach taken to analyze metabolomics data parallels that used to analyze microbial communities using 16S rRNA gene sequencing data. Thus, we have a number of methods a user is able to use to generate data. Firstly, users can import Mass Spectrometry 1(MS1) data and filter it. Users are then able to match Mass Spectrometry 2(MS2) data to the filtered (or unfiltered) MS1 data. With the matched data users are able to cluster it, annotate it, predict de novo chemical formulas and calculate alpha and beta diversity. For chemical formula predictions, this was the method used; "Towards de novo identification of metabolites by analyzing tandem mass spectra" (Sebastian Böcker, Florian Rasche (2008) <doi:10.1093/bioinformatics/btn270>). The similarity/dissimilarity calculations we used to cluster our data together was: "Spectral entropy outperforms MS/MS dot product similarity for small-molecule compound identification" (Li, Y., Kind, T., Folz, J. et al. (2021) <doi:10.1038/s41592-021-01331-z>) and "Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking" (Wang, M., Carver, J., Phelan, V. et al. (2021) <doi:10.1038/nbt.3597>).

Renders rich inline text (bold, italic, code, links, images)
    in grid graphics and 'ggplot2', from markdown or 'flextable' chunks.
    Provides grobs, theme elements, and geometry layers for styled text rendering.
    Only works with graphics devices that support 'systemfonts', such as
    those provided by 'ragg', 'svglite', or 'ggiraph'. The 'cairo_pdf'
    device is also supported when fonts are installed at the system level.

Provides Spanish-language educational tools for descriptive
    statistics, probability calculations, frequency tables, and graphics.
    The package is designed for introductory statistics workflows and returns
    printable summaries, tables, and optional 'ggplot2' visualizations. The
    graphical tools build on the grammar of graphics described by Wickham
    (2016, ISBN:978-3-319-24277-4).