Package: thisutils 0.4.7

thisutils: Collection of Utility Functions for Data Analysis and Computing

Provides utility functions for data analysis and computing. Includes functions for logging, parallel processing, and other computational tasks to streamline workflows.

Authors:Meng Xu [aut, cre], Haoliang Zhu [aut]

thisutils_0.4.7.tar.gz
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thisutils_0.4.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
thisutils/json (API)
NEWS

# Install 'thisutils' in R:
install.packages('thisutils', repos = c('https://mengxu98.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mengxu98/thisutils/issues

Pkgdown/docs site:https://mengxu98.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

6.05 score 5 stars 2 packages 10 scripts 947 downloads 45 exports 10 dependencies

Last updated from:18c67635e6. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK130
linux-devel-x86_64OK135
source / vignettesOK165
linux-release-arm64OK129
linux-release-x86_64OK137
macos-release-arm64OK109
macos-release-x86_64OK230
macos-oldrel-arm64OK97
macos-oldrel-x86_64OK215
windows-develOK138
windows-releaseOK129
windows-oldrelOK165
wasm-releaseOK102

Exports:%ss%add_pkg_fileas_matrixcapitalizecheck_ci_envcheck_pkg_statuscheck_rcheck_sparsitycollapse_sparse_rowscompute_lisidownloadfigletfiglet_fontget_namespace_funget_verboseinvoke_funis_apple_siliconis_linuxis_osxis_outlieris_windowslog_messagematrix_processmatrix_to_tablemax_depthmaximumpmeanpminimumpnormalizationparallelize_funparse_inline_expressionspearson_correlationr_squareremove_rremove_spacesimulate_sparse_matrixsparse_corsplit_indicessumptable_to_matrixthisutils_logotry_getunnest_funvotepwilkinsonp

Dependencies:clicodetoolsdoParallelforeachiteratorslatticeMatrixpakRcpprlang

Readme and manuals

Help Manual

Help pageTopics
Collection of Utility Functions for Data Analysis and Computingthisutils-package thisutils
Value selection operator%ss%
Add a package file and print package informationadd_pkg_file
Convert matrix into dense/sparse matrixas_matrix
Capitalize the first letter of each wordcapitalize
Check CI environmentcheck_ci_env
Check if a package is installed with the specified versioncheck_pkg_status
Check and install R packagescheck_r
Check sparsity of matrixcheck_sparsity
Collapse sparse matrix rows by groupcollapse_sparse_rows
Compute Local Inverse Simpson's Index (LISI)compute_lisi
Download file from the Internetdownload
The figlet functionfiglet
Get a figlet fontfiglet_font
Get a function from a namespaceget_namespace_fun
Get the verbose optionget_verbose
Invoke a function with a list of argumentsinvoke_fun
Check if the system is running on Apple Siliconis_apple_silicon
Check if the operating system is Linuxis_linux
Check if the operating system is macOSis_osx
Detect outliers using MAD (Median Absolute Deviation)is_outlier
Check if the operating system is Windowsis_windows
Print formatted messagelog_message
Process matrixmatrix_process
Switch matrix to tablematrix_to_table
Maximum depth of a listmax_depth
Maximum P-valuemaximump
Mean P-valuemeanp
Minimum P-valueminimump
Normalize numeric vectornormalization
Parallelize a functionparallelize_fun
Parse inline expressionsparse_inline_expressions
Correlation and covariance calculation for sparse matrixpearson_correlation
Print logoprint.thisutils_logo
Coefficient of determination (R^2)r_square
Check and remove R packagesremove_r
Remove and normalize spacesremove_space
Generate a simulated sparse matrixsimulate_sparse_matrix
Sparse correlation functionsparse_cor
Split indices.split_indices
Sum P-valuesump
Switch table to matrixtable_to_matrix
The logo of thisutilsthisutils_logo
Try to evaluate an expression a set number of times before failingtry_get
Unnest a list-columnunnest_fun
Vote P-valuevotep
Wilkinson's P-valuewilkinsonp