How To Remove Unnecessary Variables For A Model In R

We will be using ~ operator inside aggregate function along with subtraction operator to remove multiple irrelevant variables in R. For example if there are three variables named a, b and c, then a ~ b - c means that aggregate function will create a model a, which will contain variable b excluding variable c.

In the above aggregate function, there are three arguments. The first argument in the formula indicates that aggregate function represents mg as a function by including gr and removing bn variable calculating the mean and the second argument is variable depicting the dataset. Using above code, aggregate function creates a model in which mg variable will act as a function of gr variable and bn variable will be removed from the model.

In the above aggregate function, there are three arguments. First argument in the formula indicates that aggregate function represents mg as a function by including disp and removing hp variable calculating the mean and the second argument is variable depicting the dataset. Using the above code, aggregate function creates a model in which mg variable will act as a function of disp variable and hp variable will be removed from the model.

In the above aggregate function, there are three arguments. First argument in the formula indicates that aggregate function represents hp as a function by including mg and removing cyl variable calculating the mean and the second argument is variable depicting the dataset. Using the above code, aggregate function creates a model in which hp variable will act as a function of mg variable and cyl variable will be removed from the model.

In the above aggregate function, there are three arguments. First argument in the formula indicates that aggregate function represents wt as a function by including gr and removing qsec variable calculating the mean and the second argument is variable depicting the dataset. Using above code, aggregate function creates a model in which wt variable will act as a function of gr variable and qsec variable will be removed from the model.

In this article I demonstrated how to remove irrelevant variables from dataset for creating a model in R. Using a combination of function aggregate with certain variables and datasets, we can select and remove irrelevant variables from a dataset to create a model in R.