Package: matman 1.1.3

Leon Binder

matman: Material Management

A set of functions, classes and methods for performing ABC and ABC/XYZ analyses, identifying overperforming, underperforming and constantly performing items, and plotting, analyzing as well as predicting the temporal development of items.

Authors:Leon Binder [cre, aut], Bernhard Bauer [aut], Michael Scholz [aut]

matman_1.1.3.tar.gz
matman_1.1.3.tar.gz(r-4.5-noble)matman_1.1.3.tar.gz(r-4.4-noble)
matman_1.1.3.tgz(r-4.4-emscripten)matman_1.1.3.tgz(r-4.3-emscripten)
matman.pdf |matman.html✨
matman/json (API)
NEWS

# Install 'matman' in R:

install.packages('matman', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

Amount - Amount data
Stocks - Stock data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

13 exports 0.00 score 97 dependencies 352 downloads

Last updated 3 years agofrom:592931e6b2. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 07 2024
R-4.5-linux	OK	Sep 07 2024

Exports:aggregateData compare computeABCXYZAnalysis computeConstants computeOverperformer computeUnderperformer detectTimeVariations expandData matmanDemo plot plotValueSeries predictValue summary

Dependencies:anytime askpass base64enc BH bslib cachem cli colorspace commonmark cpp11 crayon crosstalk curl data.table digest dplyr DT evaluate fansi farver fastmap fontawesome forecast fracdiff fs generics ggplot2 glue gtable highr htmltools htmlwidgets httpuv httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle lmtest lubridate magrittr MASS Matrix memoise mgcv mime munsell nlme nnet openssl parsedate pillar pkgconfig plotly promises purrr quadprog quantmod R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang rmarkdown sass scales shiny shinydashboard shinyWidgets sourcetools stringi stringr sys tibble tidyr tidyselect timechange timeDate tinytex tseries TTR urca utf8 vctrs viridisLite withr xfun xtable xts yaml zoo

Citation

Readme and manuals

Help Manual

Help page	Topics
Material Management	matman-package matman
Class 'ABCXYZComparison'	ABCXYZComparison-class
Class 'ABCXYZData'	ABCXYZData-class
Performs a temporal aggregation of a data frame	aggregateData
Amount data	Amount
Compares two S4 objects	compare
Compares the results of two ABC/XYZ analyses	compare,ABCXYZData,ABCXYZData-method compare,ABCXYZData-method
Performs an ABC/XYZ analysis	computeABCXYZAnalysis
Select constant items	computeConstants
Select overperforming items	computeOverperformer
Select underperforming items	computeUnderperformer
Detects items whose value (stock, demand, etc.) has changed over time	detectTimeVariations
Expands a temporal data frame	expandData
Class 'Forecast'	Forecast-class
Launches a demo app	matmanDemo
Plots the result of an ABC/XYZ analysis	plot,ABCXYZData,ANY-method
Plots the development of the values	plotValueSeries
Predicts the value for items	predictValue
Shows an ABCXYZComparison object	show,ABCXYZComparison-method
Shows an ABCXYZData object	show,ABCXYZData-method
Shows a Forecast object	show,Forecast-method
Stock data	Stocks
Summarizes an S4 object	summary
Prints the summary of the comparison of two ABC/XYZ analyses	summary,ABCXYZComparison-method
Prints the result summary of an ABC/XYZ analysis	summary,ABCXYZData-method
Prints the summary of a Forecast object	summary,Forecast-method

Package: matman 1.1.3

matman: Material Management

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)