Generate a 2-dimensional star tree data that contain
n_samples
data points and fit a star tree with n_arms
arms.
generate_2d_n_arms_star_data(n_samples, n_arms, fatness)
n_samples | The number of samples to be generated. |
---|---|
n_arms | The number of arms to be generated. |
fatness | How fat from the based star tree. |
A generated martix
. The rows and columns correspond to
samples and features.
# Generate a 2-dimensional star tree data that contain 500 data points # and fit a star tree with 3 arms. The generated data are a bit noisy but # tree-like. star.tree_like <- treefit::generate_2d_n_arms_star_data(500, 3, 0.1) plot(star.tree_like)# Generate a 2-dimensional star tree data that contain 600 data points # and fit a star tree with 5 arms. The generated data are very noisy and # less tree-like. star.less_tree_like <- treefit::generate_2d_n_arms_star_data(600, 5, 0.9) plot(star.less_tree_like)