![]() How many individuals, variables, metavariables, etc? – summary(dt) The following table is an overview of operations in behavr tables. This is where basic knowledge of data.table comes in handy. COMPREHENSIVE META ANALYSIS TUTORIAL HOW TOIn the next part of this tutorial, we will create some toy data and learn how to manipulate it. Now that we have all our data at the same place, we want to be able to manipulate it. In this section, we will discuss the usual operations that you can perform on behavr tables. Therefore, do take a look at the introduction to data.table for further details! When we load any behavioural data in rethomics, we get a behavr table as a result. A behavr table is, indeed, formed internally by two tables: the metadata table and the data table, both are linked by the id column (see figure above).įor most purposes, you can use a behavr table just like a data.table. behavr tables are based on the very powerful package data.table, but enhanced with metadata. In rethomics, in order to handle large amounts of data (together with metadata), we have designed the behavr package. It is easier (and less error prone) to always keep the data and metadata together. ![]() Variables are different form metavariables in so far as the latter are made of only one value per animal. ![]() In the context of ethomics, the data are long time series of recorded variables such as position, orientation and number of beam crosses, for each individual. As we have seen in the previous section, metadata are crucial for proper statistical analysis of the experimental data. ![]()
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