Generate a 2d uniformly distributed dataset.
The aim of this lesson is to create a dataset that will be used to illustrate the basic principles of support vector machines. In this exercise we will do the first step, which is to create a 2 dimensional uniformly distributed dataset containing 600 datapoints.
This exercise is part of the course
Support Vector Machines in R
Exercise instructions
- Set the number of data points,
n
. - Generate a dataframe
df
with two uniformly distributed variables,x1
andx2
lying in (0, 1).
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
#set seed
set.seed(42)
#set number of data points.
n <- ___
#Generate data frame with two uniformly distributed predictors lying between 0 and 1.
df <- data.frame(x1 = ___,
x2 = ___)