Description Usage Arguments Details Value Author(s) Examples

Visualize the cuts in relation with the distribution of the data for each dimension in the original matrix

1 |

`cuts` |
the output of the |

`type` |
which cuts to show. This must be one of "all", "fixed" or "combined". Any unambiguous substring can be given. |

`local` |
defaults to |

"fixed" will show `n`

equally spaced cuts (see `make.cut`

for the definition of `n`

).
"combined" will show the cuts after adjustment for local minima and maxima.
"all" will show both. Setting `local`

to `TRUE`

will enable the visualization of
local minima and maxima detected by the algorithm in each dimension.

the function returns an invisible 'NULL'.

Yann Abraham

1 2 3 4 5 6 7 8 9 10 11 12 | ```
# generate a random 3D matrix with 2 peaks
mat <- rbind(matrix(rnorm(300),ncol=3),
matrix(rnorm(300,5,1),ncol=3))
dimnames(mat)[[2]] <- LETTERS[1:3]
# estimate the Hilbert order
hilbert.order(mat)
# generate 2 bins with a minimum bin size of 5
cuts <- make.cut(mat,n=3,count.lim=5)
show.cut(cuts)
# Generate the cuts
cut.mat <- do.cut(mat,cuts,type='fixed')
head(cut.mat)
``` |

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