R/generate.R
generate_2d_n_arms_linked_star_data.Rd
Generate a 2-dimensional linked star tree data. Each
star tree data contain n_samples_vector[i]
data points and fit
a star tree with n_arms_vector[i]
arms.
generate_2d_n_arms_linked_star_data(n_samples_vector, n_arms_vector, fatness)
The vector of the number of samples to be
generated. For example, c(200, 100, 300)
means that the first
tree has 200 samples, the second tree has 100 samples and the
third tree has 300 samples.
The vector of the number of arms to be
generated. For example, c(3, 2, 5)
means the first tree fits a
star tree with 3 arms, the second tree fits a star tree with 2
arms and the third tree fits a star tree with 5 arms. The size of
n_arms_vector
must equal to the size of n_samples_vector
.
How fat from the based tree. [0.0, 1.0]
is
available value range.
A generated martix
. The rows and columns correspond to
samples and features.
# Generate a 2-dimensional linked star tree data that contain
# 200-400-300 data points and fit a linked star tree with 3-5-4
# arms. The generated data are a bit noisy but tree-like.
linked_star.tree_like <-
treefit::generate_2d_n_arms_linked_star_data(c(200, 400, 300),
c(3, 5, 4),
0.1)
plot(linked_star.tree_like)
# Generate a 2-dimensional linked star tree data that contain
# 300-200 data points and fit a linked star tree with 4-3 arms.
# The generated data are very noisy and less tree-like.
linked_star.less_tree_like <-
treefit::generate_2d_n_arms_linked_star_data(c(300, 200),
c(4, 3),
0.9)
plot(linked_star.less_tree_like)