R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 65 found.
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scatterutil (Package: mixOmics) : Graphical utility functions from ade4

These utilities are used in graphical functions such as plotArrow.

● Data Source: CranContrib
● Keywords: hplot, multivariate
● Alias: scatterutil.base, scatterutil.eti, scatterutil.grid
● 0 images

mint.block.splsda (Package: mixOmics) : Horizontal and Vertical Discriminant Analysis integration with variable selection

Function to integrate data sets measured on the same samples (horizontal integration) and to combine multiple independent studies (vertical integration) using variants of sparse multi-group and generalised PLS-DA for supervised classification and variable selection.

● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: mint.block.splsda
● 0 images

plot.perf (Package: mixOmics) : Plot for model performance

Function to plot performance criteria, such as MSEP, RMSEP, R^2 or Q^2, as a function of the number of components.

● Data Source: CranContrib
● Keywords: hplot, multivariate, regression
● Alias: plot.perf
● 0 images

tune (Package: mixOmics) : Overall tuning function that can be used to tune several methods

Wrapper of all the tuning functions.

● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: tune
● 0 images

wrapper.rgcca (Package: mixOmics) : mixOmics wrapper for Regularised Generalised Canonical Correlation Analysis (rgcca)

Wrapper function to perform Regularized Generalised Canonical Correlation Analysis (rGCCA), a generalised approach for the integration of multiple datasets. For more details, see the help(rgcca) from the RGCCA package.

● Data Source: CranContrib
● Keywords: multivariate
● Alias: wrapper.rgcca
● 0 images

vip (Package: mixOmics) : Variable Importance in the Projection (VIP)

The function vip computes the influence on the Y-responses of every predictor X in the model.

● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: vip
● 0 images

print (Package: mixOmics) : Print Methods for CCA, (s)PLS, PCA and Summary objects

Produce print methods for class "rcc", "pls", "spls", "pca", "rgcca", "sgcca" and "summary".

● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: print, print.pca, print.pls, print.rcc, print.rgcca, print.sgcca, print.spca, print.spls, print.summary
● 0 images

cimDiablo (Package: mixOmics) : Clustered Image Maps (CIMs) ("heat maps") for DIABLO

This function generates color-coded Clustered Image Maps (CIMs) ("heat maps") to represent "high-dimensional" data sets analysed with DIABLO.

● Data Source: CranContrib
● Keywords: cluster, graphs, hplot, iplot, multivariate
● Alias: cimDiablo
● 0 images

block.pls (Package: mixOmics) : Horizontal Partial Least Squares (PLS) integration

Integration of multiple data sets measured on the same samples, ie. Horizontal integration.

● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: block.pls
● 0 images

sipca (Package: mixOmics) : Independent Principal Component Analysis

Performs sparse independent principal component analysis on the given data matrix to enable variable selection.

● Data Source: CranContrib
● Keywords: algebra
● Alias: sipca
● 0 images