<p id="P1">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 may also produce standardized output files
for an experiment which 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
<a data-untrusted="" href="https://www.calrapp.org/" id="d517316e166" target="xrefwindow">https://www.CalRapp.org/</a>.
</p><p id="P2">Indirect calorimetry is a powerful tool for studying energy balance.
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 and allows comprehensive data exploration, reproducible workflows, and
provides standardized analyses.