Construct a linear model

Create some linear model to predict arrival delays.

This exercise is part of the course

Big Data Analysis with Revolution R Enterprise

Exercise instructions

Use rxLinMod to create a simple linear model

The structure to a call to rxLinMod() is very similar to the lm() function in the stats package. The syntax is: rxLinMod(formula, data, …)

formula - The model specification.
data - The data in which you want to search for variables in formula.
… - Additional arguments

Using the data set myAirlineXdf, go ahead and start by creating a simple linear model predicting arrival delay by day of the week.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

## predict arrival delay by day of the week:
myLM1 <- rxLinMod( ___, data = ___)

## summarize the model
summary(___)

## Use the transforms argument to create a factor variable associated with departure time "on the fly,"
## predict Arrival Delay by the interaction between Day of the week and that new factor variable.
myLM2 <- rxLinMod( ArrDelay ~ ___, ___ = myAirlineXdf,
                   ___ = list(
                     catDepTime = cut(CRSDepTime, breaks = seq(from = 5, to = 23, by = 2))
                     ),
                    cube = TRUE
                   )

## summarize the model
summary(myLM2)

Edit and Run Code