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.

Deze oefening maakt deel uit van de cursus

Multivariate Probability Distributions in R

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Oefeninstructies

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 the state.x77 data in two dimensions. Color the state names by their region using the vector state.region.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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)

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