Package: RcmdrPlugin.NMBU 1.8.15

RcmdrPlugin.NMBU: R Commander Plug-in for University Level Applied Statistics

An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.

Authors:Kristian Hovde Liland [aut, cre], Solve Sæbø [aut]

RcmdrPlugin.NMBU_1.8.15.tar.gz
RcmdrPlugin.NMBU_1.8.15.zip(r-4.5)RcmdrPlugin.NMBU_1.8.15.zip(r-4.4)RcmdrPlugin.NMBU_1.8.15.zip(r-4.3)
RcmdrPlugin.NMBU_1.8.15.tgz(r-4.4-any)RcmdrPlugin.NMBU_1.8.15.tgz(r-4.3-any)
RcmdrPlugin.NMBU_1.8.15.tar.gz(r-4.5-noble)RcmdrPlugin.NMBU_1.8.15.tar.gz(r-4.4-noble)
RcmdrPlugin.NMBU_1.8.15.tgz(r-4.4-emscripten)RcmdrPlugin.NMBU_1.8.15.tgz(r-4.3-emscripten)
RcmdrPlugin.NMBU.pdf |RcmdrPlugin.NMBU.html✨
RcmdrPlugin.NMBU/json (API)
NEWS

# Install 'RcmdrPlugin.NMBU' in R:

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

Bug tracker:https://github.com/khliland/rcmdrplugin.nmbu/issues

On CRAN:

128 exports 0.79 score 135 dependencies 6 scripts 696 downloads

Last updated 6 months agofrom:b5121225f9. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 07 2024
R-4.5-win	OK	Sep 07 2024
R-4.5-linux	OK	Sep 07 2024
R-4.4-win	OK	Sep 07 2024
R-4.4-mac	OK	Sep 07 2024
R-4.3-win	OK	Sep 07 2024
R-4.3-mac	OK	Sep 07 2024

Exports:addObservationStatisticsNMBU anova_reg_GUI aovP auto.import auto.import.GUI backwardDrop backwardForward bestSubsets binomialDistributionPlotNMBU boxPlotNMBU CIgrandMeanNMBU CIplot clustP coefNMBU confint.mvr Confint.mvr contP contrastGUI contrastGUI2 covarianceMatrix createSequence DA.coef DA.scores daP deleteActiveDataSet deviance_tests deviance_tests_GUI discreteDistributionPlotNMBU discriminantAnalysis discriminantPlot dotPlot dotplotGUI dots dummify Dummify dummy enterTableNMBU export.instructions extend.colnames fittedLinePlot formulaFields2 forwardAdd forwardBackward generalizedLinearModelNMBU geomDistributionPlotNMBU hclust.list hclust.merge hierarchicalClusterVariable histogram_discrete hyperDistributionPlotNMBU independentSamplesTTestNMBU independentSamplesZTestNMBU invXtXGUI linearModelNMBU linePlotNMBU listHclustSolutions lmmP loadAll make.colours meanCenter mixP mixture.contour mixtureGUI modelFormula2 modelFormula3 multinomialLogitModelNMBU multiWayAnovaNMBU negbinomialDistributionPlotNMBU newDataSetOSX numericalSummariesNMBU numSummaryNMBU oneSamplesTTestSum oneSamplesZTestSum oneWayAnovaNMBU onExport onExportE onExportN ordinalRegressionModelNMBU pairedTTestNMBU pairedZTestNMBU panel.ci.plot pcaP pieChartNMBU plotByGroups plotDA plotFitDens plotModelNMBU plsP plsRegressionModel PoissonDistributionPlotNMBU postHocGUI powerTtest predict_CI_PI predict_link_response predictRegressionModel PRESS.GUI principalComponentPlots principalComponentsStat proportionTest radioButtonsNMBU RelComp resetGLMNMBU resetLinearModelNMBU resetMNLNMBU resetPOLRNMBU saveAll saveAllAs saveAllWorker sdErr simplex.analysis simplexGUI singleSampleTTestNMBU singleSampleZTestNMBU sortData summaryMultinom summaryOrdinal sumSq tally.GUI toClipboard twoProportionTest twoSamplesTTest twoSamplesTTestSum twoSamplesZTest twoSamplesZTestSum twoWayTableNMBU variablesP wideForwardAdd xtable.numSummary

Dependencies:abind backports base64enc bit bit64 boot broom bslib cachem car carData cellranger checkmate class cli clipr cluster codetools colorspace cowplot cpp11 crayon data.table DBI Deriv digest doBy dplyr e1071 effects estimability evaluate fansi farver fastmap fontawesome forcats foreign Formula fs generics ggplot2 glue gridExtra gtable haven highr Hmisc hms htmlTable htmltools htmlwidgets insight isoband jquerylib jsonlite knitr labeling lattice leaps lifecycle lme4 magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa mitools mixlm modelr multcomp munsell mvtnorm nlme nloptr nnet nortest numDeriv pbkrtest phia pillar pkgconfig pls pracma prettyunits progress proxy purrr quantreg R6 rappdirs Rcmdr RcmdrMisc RColorBrewer Rcpp RcppArmadillo RcppEigen readr readstata13 readxl relimp rematch rlang rmarkdown rpart rstudioapi sandwich sass scales SparseM stringi stringr survey survival tcltk2 TH.data tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridis viridisLite vroom withr xfun xtable yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
R Commander Plug-in for University Level Applied Statistics	RcmdrPlugin.NMBU-package addObservationStatisticsNMBU anova_reg_GUI aovP auto.import auto.import.GUI backwardDrop backwardForward bestSubsets binomialDistributionPlotNMBU boxPlotNMBU CIgrandMeanNMBU CIplot clustP coefNMBU Confint.mvr confint.mvr contP contrastGUI contrastGUI2 covarianceMatrix createSequence DA.coef DA.scores daP deleteActiveDataSet deviance_tests deviance_tests_GUI discreteDistributionPlotNMBU discriminantAnalysis discriminantPlot dotPlot dotplotGUI dots Dummify dummify dummy enterTableNMBU export.instructions Fisher Fisher.aov fittedLinePlot formulaFields2 forward forwardAdd forwardBackward generalizedLinearModelNMBU geomDistributionPlotNMBU hclust.list hclust.merge hierarchicalClusterVariable histogram_discrete hyperDistributionPlotNMBU if.R independentSamplesTTestNMBU independentSamplesZTestNMBU invXtXGUI linearModelNMBU linePlotNMBU listHclustSolutions lmmP loadAll logic.to.letters make.colours meanCenter mixed.model mixP mixture.contour mixtureGUI modelFormula2 modelFormula3 multinomialLogitModelNMBU multiWayAnovaNMBU negbinomialDistributionPlotNMBU newDataSetOSX numericalSummariesNMBU numSummaryNMBU oneSamplesTTestSum oneSamplesZTestSum oneWayAnovaNMBU onExport onExportE onExportN ordinalRegressionModelNMBU pairedTTestNMBU pairedZTestNMBU panel.ci.plot pcaP pieChartNMBU plot.Bonferroni plot.Fisher plot.TukeyHSD plotByGroups plotDA plotFitDens plotModelNMBU plotprops plsP plsRegressionModel PoissonDistributionPlotNMBU postHocGUI powerTtest predictRegressionModel predict_CI_PI predict_link_response PRESS.GUI principalComponentPlots principalComponentsStat proportionTest radioButtonsNMBU RcmdrPlugin.NMBU RelComp resetGLMNMBU resetLinearModelNMBU resetMNLNMBU resetPOLRNMBU saveAll saveAllAs saveAllWorker sdErr simplex.analysis simplexGUI singleSampleTTestNMBU singleSampleZTestNMBU sortData spearson stepWise stepWiseBack sumSq tally tally.GUI toClipboard twoProportionTest twoSamplesTTest twoSamplesTTestSum twoSamplesZTest twoSamplesZTestSum twoWayTableNMBU updateFactor variablesP wideForwardAdd xtable.numSummary
Extended summary from multinom	extend.colnames
Extended summary from multinom	summaryMultinom
Extended summary from ordinal regression	summaryOrdinal