Code by Graduate Research Assistant Ethan Kaye; data collected in conjunction with Postdoc Alexandria Marciante (PhD) and Postdoc Aaron Jones (PhD). All work was performed in conjunction with the Gordon Mitchell Lab at the University of Florida. This R Studio package of code integrates built-in R packages with custom functions to analyze plethysmography data, emphasizing quiet breathing patterns. Its core purpose is to upload, clean, and process respiratory data, identifying quiet breathing periods and computing essential behavior-specific average metrics like tidal volume, respiratory rate, and variability. The code applies advanced algorithms for detecting and classifying breathing behaviors, performs statistical analyses on breathing irregularities, and exports results in multiple formats: an Excel file with color-coded classifications, a PNG image of average quiet breathing values, and a multi-sheet Excel summary. Structured modularly, it includes all custom functions and sample files, facilitating seamless use and adaptation for further respiratory analyses.