Overview | Introduction | A note on functional microbiome data | Installation instructions | Setup | Data preparation | Input formatting for anansi | feature tables: tableY and tableX. | linking information: link. | Additional sample data for analysis: Metadata | Weave a web🕸️ | Specify which features to link. | Specify y, and x | weaveWeb with Bioconductor ecosystem | Run anansi🕷️ | Reporting output📝 | Output statistics | Plot the results | Advanced applications and customization | Generate AnansiWeb with random data | Apply user-defined function on each pair of features | Plotting examples | Plotting multiple feature pairs at once with patchwork | Note on using patchwork with anansi: | Session info

Overview | Understanding adjacency matrices | Example from Biology: The Krebs cycle | Adjacency matrices allow us to be specific in our questions | All vs-all testing | Knowledge-informed analyis of specific interactions | General use in anansi | Make a biadjacency matrix with weaveWeb() | weaveWeb() input: link | Structure of link input | linking between feature names | The pre-packaged kegg linking map | linking across two data.frame | Use custom biadjacency matrices with AnansiWeb() | Additional approaches | adjacency matrices with igraph | adjacency matrices with Matrix | Session info

Overview | Getting started: The full model | Setup | Formula syntax | Formula in anansi() | Differential association | Disjointed associations | Disjointed associations: Categorical variables | Disjointed associations: Continuous variables | Equivalent stats::lm() model | Emergent association | Emergent associations: Categorical variables | Emergent associations: Continuous variables | Repeated measures | Random slopes through Error() | compare to aov( Error() ). | Session info