Research on circadian rhythms often requires researchers to estimate period, robustness/power, and phase of the rhythm. These are important to estimate, owing to the fact that they act as readouts of different features of the underlying clock. The commonly used tools, to this end, suffer from being very expensive, having very limited interactivity, being very cumbersome to use, or a combination of these. As a step toward remedying the inaccessibility to users who may not be able to afford them and to ease the analysis of biological time-series data, we have written RhythmicAlly, an open-source program using R and Shiny that has the following advantages: (1) it is free, (2) it allows subjective marking of phases on actograms, (3) it provides high interactivity with graphs, (4) it allows visualization and storing of data for a batch of individuals simultaneously, and (5) it does what other free programs do but with fewer mouse clicks, thereby being more efficient and user-friendly. Moreover, our program can be used for a wide range of ultradian, circadian, and infradian rhythms from a variety of organisms, some examples of which are described here. The first version of RhythmicAlly is available on Github, and we aim to maintain the program with subsequent versions having updated methods of visualizing and analyzing time-series data.

中文翻译：

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RhythmicAlly：您的R和基于光泽的开源同盟，用于分析生物节奏。

对昼夜节律的研究通常需要研究人员估计周期，鲁棒性/功效和节奏的相位。由于它们充当基础时钟的不同功能的读数，因此估算这些值非常重要。为此，通常使用的工具非常昂贵，具有非常有限的交互性，使用起来非常麻烦或它们的组合。为了纠正可能无法负担不起用户费用的用户并简化生物学时间序列数据的分析，我们编写了RhythmicAlly，这是一个使用R和Shiny的开源程序，具有以下优点：（ 1）它是免费的；（2）它允许主观标记活动图形上的相位；（3）它与图形具有很高的交互性；（4）它允许同时可视化和存储一批人的数据，（5）它执行其他免费程序的工作，但鼠标单击次数较少，因此更加高效和用户友好。此外，我们的程序可用于来自各种生物的各种超节奏，昼夜节律和红外线节奏，此处介绍了其中的一些示例。Github上提供了RhythmicAlly的第一个版本，我们的目标是维护程序以及后续版本，这些版本具有可视化和分析时间序列数据的更新方法。这里描述了一些例子。Github上提供了RhythmicAlly的第一个版本，我们的目标是维护程序以及后续版本，这些版本具有可视化和分析时间序列数据的更新方法。这里描述了一些例子。Github上提供了RhythmicAlly的第一个版本，我们的目标是维护程序以及后续版本，这些版本具有可视化和分析时间序列数据的更新方法。