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)

## Arguments

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. [0.0, 1.0] is available value range.

## Value

A generated martix. The rows and columns correspond to samples and features.

## Examples

# 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)