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.
Este ejercicio forma parte del curso
Multivariate Probability Distributions in R
Instrucciones del ejercicio
- 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.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# 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)