Multidimensional scaling in two dimensions
In this exercise, you will perform multidimensional scaling of state.x77 and plot the resulting object locations in a two dimensional space.
Cet exercice fait partie du cours
Multivariate Probability Distributions in R
Instructions
- Compute the distance matrix and assign it to an object
state.dist. - Compute the multidimensional scaling of the data on the distance matrix.
- Use the
ggplot()function to plot the representation of thestate.x77data in two dimensions. Color the state names by their region using the vectorstate.region.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Calculate distance
state.dist <- dist(___)
# Perform multidimensional scaling
mds.state <- cmdscale(___)
# Change mds.state to a data frame for use in ggplot
mds.state_df <- data.frame(mds.state)
# Plot the representation of the data in two dimensions
ggplot(data = ___, aes(x = X1, y = X2, label = rownames(mds.state), color = ____)) +
geom_text(alpha = 0.8, size = 3)