R Commander Plug-in for University Level Applied Statistics

Description

This package provides an Rcmdr "plug-in" extending some functions of linear models and providing new and extended interfaces to PCA, PLS, LDA, QDA, clustering of variables, tests, plots, etc.

Details

Run the plugin using the code library(RcmdrPlugin.NMBU) or library(umb).
Statistical and summary functions included:

• dummy(y)

• PRESS(object=NULL) (default is current model)

• PRESS.res(object=NULL) (default is current model)

• R2_pred(object=NULL) (default is current model)

• forward(model, alpha=0.2, full=FALSE)

• backward(model, alpha=0.2, full=FALSE)

• stepWise(model, alpha.enter=0.15, alpha.remove=0.15, full=FALSE)

• stepWiseBack(model, alpha.remove=0.15, alpha.enter=0.15, full=FALSE)

• best.subsets(model, nbest=5, nvmax)

• confint.mvr(object, parm, level=0.95, ...)

• confusion(true, predicted)

• DA.scores(object=NULL) (default is current model)

• plotDA(DAobject=NULL, regions=TRUE, contours=FALSE, resolution=100)

• hclust.merge(object) (default is last clustering)

• mixed.model(formula, random.effects=NULL, data, restrictedModel=FALSE, subset="")

• summary.extra(object)

• anova_reg(lm.object)

• predict_CI_PI(model, data, level)

• prop.test.ordinary(x, n, p = NULL, alternative = c("two.sided", "less", "greater"), conf.level = 0.95, correct = TRUE)

• rmsep(object) (default is current model)

Utility functions included:

• aovP()

• clustP()

• daP()

• mixP()

• pcaP()

• plsP()

• variablesP()

• DA.coef()

• hclust.list()

• listHclustSolutions(envir=.GlobalEnv, ...)

• make.colours(object)

• confint.mvr(object, parm, level=0.95, ...)

• dummy(y)

• dummify(y,n,name)

• Dummify(data, main.effects, response)

• fparse(f)

• if.R()

GUI Functions included:

• anova_reg_GUI()

• backwardDrop()

• backwardForward()

• bestSubsets()

• coefNMBU()

• contrastGUI()

• contrastGUI2()

• covarianceMatrix()

• createSequence()

• discriminantAnalysis()

• discriminantPlot()

• dotplotGUI()

• enterTableNMBU()

• fittedLinePlot()

• wideForwardAdd()

• forwardAdd()

• forwardBackward()

• hierarchicalClusterVariable()

• linearModelANOVA()

• meanCenter()

• mixtureGUI()

• plsRegressionModel()

• postHocGUI()

• predictRegressionModel()

• PRESS.GUI()

• principalComponentPlots()

• principalComponentsStat()

• proportionTest()

• sortData()

• twoSamplesTTest()

• twoWayTableNMBU()

Graphical Functions included:

• CIplot()

• dotPlot()

• dots()

• mixture.contour()

• panel.ci.plot()

• plotDA()

Author(s)

Kristian Hovde Liland <kristian.liland@nmbu.no>

Examples

## Not run: 
## This example shows alternative ways of starting 
## package using the official plugin or an unofficial wrapper.
library(RcmdrPlugin.NMBU) # Starts up the R Commander including this plugin.
library(nmbu) # Simpler startup with automatic update hosted by NMBU (when available).

## End(Not run)

Extended summary from multinom

Description

Extended summary from multinom

Usage

extend.colnames(object, the.name)

Arguments

Value

Returns object with new colnames.

Author(s)

Kristian Hovde Liland

Extended summary from multinom

Description

Extends the summary function of multinom object from nnet.

Usage

summaryMultinom(object)

Arguments

Value

Only printing is performed, nothing is returned.

Author(s)

Kristian Hovde Liland

Extended summary from ordinal regression

Description

Extended summary from ordinal regression.

Usage

summaryOrdinal(object, digits = max(3, .Options$digits - 3), correlation = FALSE, ...)

Arguments

Value

Only printing is performed, nothing is returned.

Author(s)

Kristian Hovde Liland