March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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How to do it...
The house_prices dataset that we will use here, has a dependent variable that is the house price. The independent variables are: the size, the number of bathrooms, the number of bedrooms, the number of entrances, the size of the balcony, and the size of the entrance. We will find the best transformations for the dependent and independent variables that get the best model.
- First, we load the library, and the data. We then split the data into x (independent variables) and y (dependent variables), as shown in the following example:
library("acepack")data = read.csv("./house_prices.csv")x = data[,2:7]y = data[,1]
- Next, we run our initial ordinary least squares, because we want to see what is the standard R2 that we get there. ...
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