CalR: A Web-Based Analysis Tool for Indirect Calorimetry Experiments
© 2018 Elsevier Inc. We report a web-based tool for analysis of experiments using indirect calorimetry to measure physiological energy balance. CalR simplifies the process to import raw data files, generate plots, and determine the most appropriate statistical tests for interpretation. Analysis using the generalized linear model (which includes ANOVA and ANCOVA) allows for flexibility in interpreting diverse experimental designs, including those of obesity and thermogenesis. Users also may produce standardized output files for an experiment that can be shared and subsequently re-evaluated using CalR. This framework will provide the transparency necessary to enhance consistency, rigor, and reproducibility. The CalR analysis software will greatly increase the speed and efficiency with which metabolic experiments can be organized, analyzed per accepted norms, and reproduced and will likely become a standard tool for the field. CalR is accessible at https://CalRapp.org/. Indirect calorimetry is a powerful tool for studying energy balance. These experiments produce rich datasets but are difficult to analyze properly and lack transparency. Mina and colleagues created a rigorous tool, CalR, that takes raw data from indirect calorimeters, allows comprehensive data exploration and reproducible workflows, and provides standardized analyses.
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