R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 8 of 8 found.
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ci (Package: gmodels) : Compute Confidence Intervals

Compute and display confidence intervals for model estimates. Methods are provided for the mean of a numeric vector ci.default, the probability of a binomial vector ci.binom, and for lm, and lme objects are provided.

● Data Source: CranContrib
● Keywords: regression
● Alias: ci, ci.binom, ci.lm, ci.lme, ci.numeric
● 0 images

make.contrasts (Package: gmodels) : Construct a User-Specified Contrast Matrix

Construct a user-specified contrast matrix.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: make.contrasts
● 0 images

estimable (Package: gmodels) : Contrasts and estimable linear functions of model coefficients

Compute and test contrasts and other estimable linear functions of model coefficients for for lm, glm, lme, and geese objects

● Data Source: CranContrib
● Keywords: models, regression
● Alias: estimable, estimable.default
● 0 images

glh.test (Package: gmodels) : Test a General Linear Hypothesis for a Regression Model

Test, print, or summarize a general linear hypothesis for a regression model

● Data Source: CranContrib
● Keywords: models, regression
● Alias: glh.test, print.glh.test, summary.glh.test
● 0 images

fit.contrast (Package: gmodels) : Compute and test arbitrary contrasts for regression objects

Compute and test arbitrary contrasts for regression objects.

● Data Source: CranContrib
● Keywords: models, regression
● Alias: fit.contrast, fit.contrast.lm, fit.contrast.lme
● 0 images

fast.prcomp (Package: gmodels) : Efficient computation of principal components and singular value

The standard prcomp and svd function are very inefficient for wide matrixes. fast.prcomp and fast.svd are modified versions which are efficient even for matrixes that are very wide.

● Data Source: CranContrib
● Keywords: algebra, array, multivariate
● Alias: fast.prcomp, fast.svd
● 0 images

coefFrame (Package: gmodels) : Return model parameters in a data frame

Fits a model to each subgroup defined by by, then returns a data frame with one row for each fit and one column for each parameter.

● Data Source: CranContrib
● Keywords: models
● Alias: coefFrame
● 0 images

CrossTable (Package: gmodels) : Cross Tabulation with Tests for Factor Independence

An implementation of a cross-tabulation function with output similar to S-Plus crosstabs() and SAS Proc Freq (or SPSS format) with Chi-square, Fisher and McNemar tests of the independence of all table factors.

● Data Source: CranContrib
● Keywords: category, univar
● Alias: CrossTable
● 0 images