findviews_core: Views of a multidimensional dataset, non-Shiny version
In findviews: A View Generator for Multidimensional Data

Description Usage Arguments Details Examples

View source: R/findviews.R

findviews_core generates views of a multidimensional data set. It produces the same results as findviews, but does not present them with a Shiny app.

1	findviews_core(data, view_size_max = NULL, clust_method = "complete")

`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".

findviews_core takes a data frame or a matrix as input. It computes the pairwise dependency between the columns and detects clusters in the resulting structure. See the documentation of findviews for more details.

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