generate_2d_n_arms_linked_star_data: Generate a 2-dimensional linked star tree data

In treefit: The First Software for Quantitative Trajectory Inference

Description

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.

Usage

generate_2d_n_arms_linked_star_data(n_samples_vector, n_arms_vector, fatness)

Arguments

n_samples_vector	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.
n_arms_vector	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.
fatness	How fat from the based 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 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)

treefit documentation built on Jan. 18, 2022, 9:06 a.m.