In R programming, there are three types of functions:
Primitive Functions is the first of a series of articles about primitive functions.
There are two infix functions.
Three replacement functions are available.
That is, using the with() method, we may evaluate a R expression within the function we're passing as an input. It only works with data frames. As a result, the R expression's result is evaluated in relation to the data frame supplied to it as an argument.
The input fn() method can be used to generate an input function from a R data frame. Feature and response variables can be specified either explicitly or using the R formula interface. It's worth noting that the input fn functions offer a number of options for influencing how data is pulled from the input source.
The str() function displays the structure of your data set. It tells you the following about a data frame: The number of observations in total (e.g. 32 car types) The number of variables in total (e.g. 11 car features) The names of all the variables are listed below (e.g. mpg , cyl ... )
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