Package: thisutils 0.4.8

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]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
thisutils/json (API)

# 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

6.17 score 5 stars 2 packages 14 scripts 824 downloads 51 exports 11 dependencies

Last updated from:8086186716. Checks:4 ERROR, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR181
linux-devel-x86_64ERROR155
source / vignettesOK186
linux-release-arm64ERROR160
linux-release-x86_64ERROR173
macos-release-arm64OK143
macos-release-x86_64OK187
macos-oldrel-arm64OK163
macos-oldrel-x86_64OK226
windows-develOK169
windows-releaseOK151
windows-oldrelOK140
wasm-releaseOK137

Exports:%ss%add_pkg_fileas_matrixcapitalizecheck_ci_envcheck_pkg_statuscheck_rcheck_sparsityclassification_metrics_computecollapse_sparse_rowscompute_lisidownloadfast_row_varsfigletfiglet_fontfilter_nonzero_variance_featuresget_namespace_funget_verboseinvoke_funis_apple_siliconis_linuxis_osxis_outlieris_windowslog_messagematrix_processmatrix_to_tablemax_depthmaximumpmeanpminimumpnormalizationparallelize_funparse_inline_expressionspearson_correlationr_squareremove_rremove_spacerun_biocneighbors_knnrun_dense_topk_by_columnrun_sparse_topk_by_columnsimulate_sparse_matrixsparse_corsplit_indicessumptable_to_matrixthisutils_logotry_getunnest_funvotepwilkinsonp

Dependencies:callrclilatticeMatrixotelpakprocessxpsR6Rcpprlang

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
Compute classification metricsclassification_metrics_compute
Collapse sparse matrix rows by groupcollapse_sparse_rows
Compute Local Inverse Simpson's Index (LISI)compute_lisi
Download file from the Internetdownload
Compute unbiased row variancesfast_row_vars
The figlet functionfiglet
Get a figlet fontfiglet_font
Keep matrix rows with nonzero variancefilter_nonzero_variance_features
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
Find nearest neighbors with BiocNeighborsrun_biocneighbors_knn
Dense matrix top-k by columnrun_dense_topk_by_column
Sparse matrix top-k by columnrun_sparse_topk_by_column
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