Generating a complex dataset - part 1
In this exercise you will create a dataset that has two attributes x1
and x2
, with x1
normally distributed (mean = -0.5, sd = 1) and x2
uniformly distributed in (-1, 1).
This exercise is part of the course
Support Vector Machines in R
Exercise instructions
- Generate a data frame
df
with 1000 points (x1, x2) distributed as follows: x1
- normally distributed with mean = -0.5 and std deviation 1.x2
uniformly distributed in (-1, 1).
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
#number of data points
n <- ___
#set seed
set.seed(1)
#create dataframe
df <- data.frame(x1 = ___(n, mean = ___, ___ = 1),
x2 = runif(n, ___ = ___, ___ = ___))