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 11 found.
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similarity.variables (Package: CluMix) : Similarity matrix for variables

Get similarity matrix for variables of mixed types

● Data Source: CranContrib
● Keywords: cluster, math
● Alias: similarity.variables
● 0 images

association (Package: CluMix) :

Similarities between variables used for clustering are calculated by this function. For each combination of different data types, an appropriate measure for association is chosen, see details.

● Data Source: CranContrib
● Keywords: cluster, univar
● Alias: association
● 0 images

dendro.variables (Package: CluMix) : Variables dendrogram

Get dendrogram for variables of mixed types

● Data Source: CranContrib
● Keywords: cluster
● Alias: dendro.variables
● 1 images

mix.heatmap (Package: CluMix) : Heatmap for data with variables of mixed types

Produces a heatmap visualizing all samples and variables of a dataset. Both samples and variables are clustered using methods suitable for mixed-type data. Different types of variables are indicated by different color schemes.

● Data Source: CranContrib
● Keywords: hplot
● Alias: mix.heatmap
● 3 images

similarity.subjects (Package: CluMix) : Similarity matrix for subjects

Get similarity matrix for subjects (observations) based on variables of mixed data types

● Data Source: CranContrib
● Keywords: cluster, math
● Alias: similarity.subjects
● 0 images

dist.subjects (Package: CluMix) : Distance matrix for subjects

Get distance matrix for subjects (observations) based on variables of mixed data types

● Data Source: CranContrib
● Keywords: cluster, math
● Alias: dist.subjects
● 0 images

dendro.subjects (Package: CluMix) : Subjects dendrogram

Get dendrogram for subjects (observations) based on variables of mixed data types

● Data Source: CranContrib
● Keywords: cluster
● Alias: dendro.subjects
● 2 images

confounderPlot (Package: CluMix) : Confounder Plot

Plots similarities of all variables to an outcome variable against similarities of all variables to a predictor of interest

● Data Source: CranContrib
● Keywords: hplot
● Alias: confounderPlot
● 1 images

dist.variables (Package: CluMix) : Distance matrix for variables

Get distance matrix for variables of mixed types

● Data Source: CranContrib
● Keywords: cluster, math
● Alias: dist.variables
● 0 images

CluMix-package (Package: CluMix) :

Sexpr[results=rd,stage=build]{tools:::Rd_package_description("CluMix")}

Details

The DESCRIPTION file: Sexpr[results=rd,stage=build]{tools:::Rd_package_DESCRIPTION("The package provides clustering and visualization of mixed-type data")} Sexpr[results=rd,stage=build]{tools:::Rd_package_indices("CluMix")} The main function mix.heatmap of the package generates a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn (distmap). Associations between variables can be explored by the confounderPlot, which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest. Distance matrices and dendrograms for subjects and variables can be derived by functions dist.subjects, dist.variables, dendro.subjects, and dendro.variables.

● Data Source: CranContrib
● Keywords: package
● Alias: CluMix, CluMix-package
● 1 images