RcmdrPlugin.NMBU-package | R Documentation |
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.
Package: | RcmdrPlugin.NMBU |
License: | GPL version 2 or newer |
LazyLoad: | yes |
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()
Kristian Hovde Liland <kristian.liland@nmbu.no>
## 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)
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