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.
Questo esercizio fa parte del corso
Multivariate Probability Distributions in R
Istruzioni dell'esercizio
- 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.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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)