| dynutils | R Documentation |
Provides common functionality for the dynverse packages. dynverse is created to support the development, execution, and benchmarking of trajectory inference methods. For more information, check out dynverse.org.
add_class(): Add a class to an object
extend_with(): Extend list with more data
calculate_distance(): Calculate pairwise distances between two (sparse) matrices
calculate_similarity(): Calculate pairwise similarities between two (sparse) matrices
calculate_mean(): Calculate a (weighted) mean between vectors or a list of vectors; supports the arithmetic, geometric and harmonic mean
project_to_segments(): Project a set of points to to set of segments
expand_matrix(): Add rows and columns to a matrix
scale_uniform(): Rescale data to have a certain center and max range
scale_minmax(): Rescale data to a [0, 1] range
scale_quantile(): Cut off outer quantiles and rescale to a [0, 1] range
inherit_default_params(): Have one function inherit the default parameters from other functions
check_packages(): Easily checking whether certain packages are installed
install_packages(): Install packages taking into account the remotes of another
random_time_string(): Generates a string very likely to be unique
list_as_tibble(): Convert a list of lists to a tibble whilst retaining class information
tibble_as_list(): Convert a tibble back to a list of lists whilst retaining class information
extract_row_to_list(): Extracts one row from a tibble and converts it to a list
mapdf(): Apply a function to each row of a data frame
safe_tempdir(): Create an empty temporary directory and return its path
%all_in%(): Check whether a vector are all elements of another vector
%has_names%(): Check whether an object has certain names
is_single_numeric(): Check whether a value is a single numeric
is_bounded(): Check whether a value within a certain interval
recent_news(): Print the most recent news (assumes NEWS.md file as specified by news())
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.