findviews_to_compare_core: Views of a multidimensional dataset, ranked by their...
In findviews: A View Generator for Multidimensional Data

Description Usage Arguments Details Examples

View source: R/findviews_to_compare.R

findviews_to_compare_core detects views on which two arbitrary sets of tuples are well separated. It produces the same results as findviews_to_compare, but does not present them with a Shiny app.

1 2	findviews_to_compare_core(group1, group2, data, view_size_max = NULL, clust_method = "complete")

`group1`	Logical vector of size `nrow(data)`, which describes the first group to compare. The value `TRUE` at position i indicates the the i-th row of `data` belongs to the group.
`group2`	Logical vector, which describes the second group to compare. The value `TRUE` at position i indicates the the i-th row of `data` belongs to the group.
`data`	Data frame or matrix to be processed
`view_size_max`	Maximum number of columns in the views. If set to `NULL`, findviews uses `log2(ncol(data))`, rounded upwards and capped at 5.
`clust_method`	Character describing a clustering method, used internally by `hclust`. Example values are "complete", "single" or "average".

The function findviews_to_compare_core takes two groups of tuples as input, and detects views on which the statistical distribution of those two groups is different. See the documentation of findviews_to_compare for more details.

The difference between findviews_to_compare and findviews_to_compare_core is that the former presents its results with a Shiny app, while the latter simply outputs them as R stuctures.