visVp

a numeric value specifying the height of device

height

an integer specifying x-dimension of the grid

xdim

an integer specifying y-dimension of the grid

ydim

an integer specifying the number of columns

colNum

rowNum

an object of class gpar, typically the output from a call to
the function gpar (i.e., a list of graphical parameter settings)


<code>visVp</code> is supposed to create viewports, which describe
rectangular regions on a graphics device and define a number of
coordinate systems for each of supra-hexagonal grids.


A supra-hexagonal map is a giant hexagon on a 2-dimensional grid
seamlessly consisting of smaller hexagons. It is supposed to train, analyse and
visualise a high-dimensional omics input data. The supraHex is able to carry
out gene clustering/meta-clustering and sample correlation, plus intuitive
visualisations to facilitate exploratory analysis. More importantly, it allows
for overlaying additional data onto the trained map to explore relations between
input and additional data. So with supraHex, it is also possible to carry out
multilayer omics data comparisons. Newly added utilities are advanced heatmap
visualisation and tree-based analysis of sample relationships. Uniquely to
this package, users can ultrafastly understand any tabular omics data, both
scientifically and artistically, especially in a sample-specific fashion but
without loss of information on large genes (see http://www.ncbi.nlm.nih.gov/
pubmed/24309102).

Hai Fang

supraHex

A Supra-Hexagonal Map for Analysing Tabular Omics Data

visVp function

<code>visVp</code> is supposed to create viewports, which describe
rectangular regions on a graphics device and define a number of
coordinate systems for each of supra-hexagonal grids.

visVp: Function to create viewports for multiple supra-hexagonal grids

Description

Usage

Arguments

Value

See Also

Examples