Here we are going discuss about nested function and %>% operator. In a common scenario, we can solve the above problem based on three methods.įirst method with nested functions, a second option with using objects, and a third option with a %>% operator. Suppose we want to look at the common engine displacement of automobiles with four cylinders grouped via way of means of to transmission from biggest to smallest. Naive Bayes Classification in R » Prediction Model »įor instance, a function to filter data with the dplyr package can be written as library(dplyr)Ībove functions whole the equal task, but while we need to carry out more than one function we can get a clearer written code through using the %>% operator. The major task of this operator will forward a value, or the result of an expression, into the next function call/expression. Packages in “tidyverse” load %>% pipe operator automatically, so usually no need to load “magrittr” explicitly. The purpose is to lower improvement time and to enhance clarity and maintainability of code. Pipe operator in R comes from the “magrittr” package.
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