A Simple Guide to S3 Methods

To summarize, the important feature of S3 methods worth noting is that only the first part, summary, is required to be used on these objects of different classes.

Hiding the trailing text after the . avoids the need to use a different summary function for every class. This means that one does not need to remember to use summary.lm for linear models, or summary.data.frame for data frames, or summary.aProposterousClassOfObject. By using S3 methods, cognitive load is reduced – you don’t have to think as much to remember what class an object is – and the commands are more intuitive. To get a summary of most objects, use summary, to plot most objects, use plot. Perhaps the most nifty feature of all is that a user can create their own S3 methods using the same functions such as summary and plot.

太厉害了。。

Creating your own S3 method is not particularly difficult and is usually highly practical. A use case scenario for creating an S3 method is now discussed.

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thanks for sharing