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).

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

Description

Usage

Arguments

Value

See Also

Examples