Calculating the variance-covariance matrix
Along with the mean, an equally important statistic for a multivariate observation is its variance-covariance matrix. The variance-covariance matrix generalizes the concept of variance to multiple dimensions.
This exercise is part of the course
Multivariate Probability Distributions in R
Exercise instructions
- Calculate the variance-covariance matrix of the first four numeric variables in columns 2 through 5.
- Round the values of the variance-covariance matrix to two decimal places.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate the variance-covariance matrix of the variables Alcohol, Malic, Ash, Alcalinity
var.wine <- var(___)
# Round the matrix values to two decimal places
round(___, ___)