Package index • thisutils

thisutils thisutils-package: Reliable Utilities for Reusable Research Workflows
thisutils_logo(): The logo of thisutils
print(<thisutils_logo>): Print logo

as_matrix(): Convert matrix into dense/sparse matrix
check_sparsity(): Check sparsity of matrix
collapse_sparse_rows(): Collapse sparse matrix rows by group
fast_row_vars(): Compute row variances
filter_nonzero_variance_features(): Keep matrix rows with nonzero variance
matrix_to_table(): Switch matrix to table
pearson_correlation(): Correlation and covariance calculation for sparse matrix
run_dense_topk(): Dense matrix top-k selection
run_sparse_topk(): Sparse matrix top-k selection
run_sparse_topk_stored(): Stored sparse entries top-k selection
sparse_cor(): Resource-controlled sparse correlation
table_to_matrix(): Switch table to matrix

run_sparse_topk_by_column(): Compatibility wrapper for column-wise sparse top-k selection
run_sparse_stored_topk_by_column(): Compatibility wrapper for stored column-wise sparse top-k selection

add_pkg_file(): Add a package file and print package information
check_pkg_status(): Check if a package is installed with the specified version
check_r(): Check and install R packages
get_namespace_fun(): Get a function from a namespace
invoke_fun(): Invoke a function with a list of arguments
remove_r(): Check and remove R packages

`%ss%`: Value selection operator
capitalize(): Capitalize the first letter of each word
check_ci_env(): Check CI environment
download(): Download file from the Internet
is_outlier(): Detect outliers using MAD (Median Absolute Deviation)
is_apple_silicon(): Check if the system is running on Apple Silicon
is_linux(): Check if the operating system is Linux
is_osx(): Check if the operating system is macOS
is_windows(): Check if the operating system is Windows
matrix_process(): Process matrix
max_depth(): Maximum depth of a list
maximump(): Maximum P-value
meanp(): Mean P-value
minimump(): Minimum P-value
normalization(): Normalize numeric vector
r_square(): Coefficient of determination (\(R^2\))
remove_space(): Remove and normalize spaces
split_indices(): Split indices.
simulate_sparse_matrix(): Generate a simulated sparse matrix
sump(): Sum P-value
try_get(): Try to evaluate an expression a set number of times before failing
unnest_fun(): Unnest a list-column
votep(): Vote P-value
wilkinsonp(): Wilkinson's P-value