R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 23 found.
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scaleChi (Package: cocorresp) : Standardised chi-square residuals

Scales a matrix, Y, to is standardised chi-square residuals (o - e) / sqrt(e) (given K_n and R_0 metrics derived from an external matrix Y_0) so that further analysis can be unweighted.

● Data Source: CranContrib
● Keywords: multivariate
● Alias: scaleChi
● 0 images

fitCoinertia (Package: cocorresp) : Co-inertia analysis

Performs a co-inertia of the triplets (Q_1,K_1,R_0) and (Q_2,K_2,R_0).

● Data Source: CranContrib
● Keywords: models, multivariate
● Alias: fitCoinertia, print.fitCoinertia, print.summary.fitCoinertia, summary.fitCoinertia
● 0 images

coinertiaI (Package: cocorresp) : Coinertia analysis with identity matrices

Performs a co-inertia of the triplets (Q_1,K_1,R_0) and (Q_2,K_2,R_0) with identity matrices K_1, K_2, R_0.

● Data Source: CranContrib
● Keywords: models, multivariate
● Alias: coinertiaI
● 0 images

plot.symcoca (Package: cocorresp) : Biplots for symmetric co-correspondence analysis

Produces biplots of the response and predictor from the results of a symmetric co-correspondence analysis.

● Data Source: CranContrib
● Keywords: hplot, methods
● Alias: plot.symcoca
● 0 images

coca (Package: cocorresp) : Fit Co-Correspondence Analysis Ordination Models

coca is used to fit Co-Correspondence Analysis (CoCA) models. It can fit predictive or symmetric models to two community data matrices containing species abundance data.

● Data Source: CranContrib
● Keywords: models, multivariate, regression
● Alias: coca, coca.default, coca.formula, print.predcoca, print.symcoca
● 0 images

screeplot.symcoca (Package: cocorresp) : Screeplot for symmetric co-correspondence analysis

Produces a screeplot of the eigenvalues of a symmetric co-correspondence analysis.

● Data Source: CranContrib
● Keywords: hplot, methods
● Alias: screeplot.symcoca
● 0 images

plot.predcoca (Package: cocorresp) : Biplots for predictive co-correspondence analysis

Produces biplots of the response and predictor from the results of a predictive co-correspondence analysis.

● Data Source: CranContrib
● Keywords: hplot
● Alias: plot.predcoca
● 0 images

envfit.coca (Package: cocorresp) :

The function fits environmental vectors or factors to a Co-CA ordination. The projections of points onto vectors have maximum correlation with corresponding environmental variables, and the factors show the averages of factor levels.

● Data Source: CranContrib
● Keywords: htest, multivariate
● Alias: envfit.coca
● 0 images

summary.predcoca (Package: cocorresp) : Summarizing Co-CA Model Fits

summary methods for classes "predcoca" and "symcoca". These provide a summary of the main results of a Co-Correspondence Analysis model.

● Data Source: CranContrib
● Keywords: multivariate
● Alias: print.summary.predcoca, print.summary.symcoca, summary.predcoca, summary.symcoca
● 0 images

cocorresp-package (Package: cocorresp) :

Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communitities.

● Data Source: CranContrib
● Keywords: package
● Alias: cocorresp, cocorresp-package
● 0 images