Collection of Utility Functions for Data Analysis and Computing

Documentation for package ‘thisutils’ version 0.2.0

thisutils-package	Collection of Utility Functions for Data Analysis and Computing
%ss%	Value selection operator
add_pkg_file	Add package file
as_matrix	Convert matrix into dense/sparse matrix
capitalize	Capitalize the first letter of each word
check_sparsity	Check sparsity of matrix
download	Download file from the Internet
figlet	The figlet function
figlet_font	Get a figlet font
get_verbose	Get the verbose option
invoke_fun	Invoke a function with a list of arguments
log_message	Print formatted message
matrix_process	Process matrix
matrix_to_table	Switch matrix to table
maximump	Maximum P-value
max_depth	Maximum depth of a list
meanp	Mean P-value
minimump	Minimum P-value
normalization	Normalize numeric vector
parallelize_fun	Parallelize a function
parse_inline_expressions	Parse inline expressions
pearson_correlation	Correlation and covariance calculation for sparse matrix
print.thisutils_logo	Print logo
remove_space	Remove and normalize spaces
r_square	Coefficient of determination (R^2)
simulate_sparse_matrix	Generate a simulated sparse matrix
sparse_cor	Sparse correlation function
split_indices	Split indices.
sump	Sum P-value
table_to_matrix	Switch table to matrix
thisutils	Collection of Utility Functions for Data Analysis and Computing
thisutils_logo	The logo of thisutils
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