Package: T2Qv 0.2.0

T2Qv: Control Qualitative Variables

Covers k-table control analysis using multivariate control charts for qualitative variables using fundamentals of multiple correspondence analysis and multiple factor analysis. The graphs can be shown in a flat or interactive way, in the same way all the outputs can be shown in an interactive shiny panel.

Authors:Wilson Rojas-Preciado [aut, cre], Mauricio Rojas-Campuzano [aut, ctb], Purificación Galindo-Villardón [aut, ctb], Omar Ruiz-Barzola [aut, ctb]

T2Qv_0.2.0.tar.gz
T2Qv_0.2.0.zip(r-4.5)T2Qv_0.2.0.zip(r-4.4)T2Qv_0.2.0.zip(r-4.3)
T2Qv_0.2.0.tgz(r-4.5-any)T2Qv_0.2.0.tgz(r-4.4-any)T2Qv_0.2.0.tgz(r-4.3-any)
T2Qv_0.2.0.tar.gz(r-4.5-noble)T2Qv_0.2.0.tar.gz(r-4.4-noble)
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T2Qv.pdf |T2Qv.html
T2Qv/json (API)

# Install 'T2Qv' in R:
install.packages('T2Qv', repos = c('https://wilsonrp.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

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

1.00 score 174 downloads 5 exports 78 dependencies

Last updated 1 years agofrom:af733e880a. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winOKJan 30 2025
R-4.5-macOKJan 30 2025
R-4.5-linuxOKJan 30 2025
R-4.4-winOKJan 30 2025
R-4.4-macOKJan 30 2025
R-4.3-winOKJan 30 2025
R-4.3-macOKJan 30 2025

Exports:ACMconcatenatedACMpointChiSq_variableFull_PanelT2_qualitative

Dependencies:assertthatbackportsbase64encbroombslibcacachemclicommonmarkcpp11crayoncurldata.tabledigestdplyrevaluatefansifastmapfontawesomefreshfsgenericsgluehighcharterhighrhtmltoolshtmlwidgetshttpuvigraphjquerylibjsonliteknitrlaterlatticelifecyclelubridatemagrittrMatrixmemoisemimepillarpkgconfigpromisespurrrquantmodR6rappdirsRcpprjsonrlangrlistrmarkdownrstudioapisassshinyshinycssloadersshinydashboardshinydashboardPlussourcetoolsstringistringrtablestibbletidyrtidyselecttimechangetinytexTTRutf8vctrswaiterwithrxfunXMLxtablextsyamlzoo