Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps:

1. For a normal distribution, the user can use dnorm, which will return the height of a normal curve at 0:

        > dnorm(0)
        Output:
    
       [1] 0.3989423  

2. Then, the user can change the mean and the standard deviation in the argument:

        > dnorm(0,mean=3,sd=5)
        Output:
    
        [1] 0.06664492  

3. Next, plot the graph of a normal distribution with the curve function:

        > curve(dnorm,-3,3)

Standard normal distribution

4. In contrast to dnorm, which returns the height of a normal curve, the pnorm function can return the area under a given value:

        > pnorm(1.5)
        Output:
    
        [1] 0.9331928  

5. Alternatively, to get the area over a certain ...