Description Manipulation of lists Calculations Manipulation of matrices Scaling of matrices and vectors Manipulation of functions Manipulation of packages Manipulation of vectors Tibble helpers File helpers Assertion helpers Package helpers
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()
)
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