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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).

Cet exercice fait partie du cours

Support Vector Machines in R

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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).

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

#number of data points
n <- ___

#set seed
set.seed(1)

#create dataframe
df <- data.frame(x1 = ___(n, mean = ___, ___ = 1), 
                 x2 = runif(n, ___ = ___, ___ = ___))
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