hbiclust-package: Hierarchical biclustering

In hbiclust: Hierarchical Biclustering

Description

Plot a 2D or 3D hierarchical biclustering with respectively, hbiclust.plot and forestogram.

Details

TESTING DESCRIPTION.

Author(s)

Mohammad Sajjad Ghaemi

References

~~ Literature or other references for background information ~~

See Also

~~ <pkg> ~~

Examples

set.seed(150)
row=3
col=3

a=cbind2(matrix( rnorm(row*col,mean=0,sd=1), row, col) , matrix( rnorm(row*col,mean=5,sd=1), row, col));
a=cbind2(a, matrix( rnorm(row*col,mean=5,sd=1), row, col));
b=cbind2(matrix( rnorm(row*col,mean=-15,sd=1), row, col) , matrix( rnorm(row*col,mean=0,sd=1), row, col));
b=cbind2(b, matrix( rnorm(row*col,mean=15,sd=1), row, col));
d=cbind2(matrix( rnorm(row*col,mean=-25,sd=1), row, col) , matrix( rnorm(row*col,mean=0,sd=1), row, col));
d=cbind2(d, matrix( rnorm(row*col,mean=25,sd=1), row, col));
c=rbind2(a,b);
c=rbind2(c,d);
row=9
col=9
b<-hbiclust(c, method="ward")
forestogram(b, cut_height = b$hcut, 
            line_width = 3.0, 
            interpolate_tree_colors = FALSE, 
            cut_base_alpha = 0.4,
            draw_only_from_cut =FALSE);
cutforest(b, k=9)
hbiclust.plot(b, cut_height = b$hcut);

hbiclust documentation built on May 2, 2019, 4:56 p.m.