foldmatrix: Fold a verisr object into a numeric matrix of proportions
In jayjacobs/verisr: Tools for working with VERIS objects

Description Usage Arguments Details

given a verisr object and a list of features (columns) and objects (rows), this will create a numeric matrix of the data suitable for further veris, hclust or other dist() analysis.

1	foldmatrix(veris, cols = NULL, rows = NULL, min = 1, clean = T)

`veris`	a veris matrix object
`cols`	a vector of features to use in the columns, if left empty, it will use all the logical columns in the input matrix.
`rows`	a vector of column names or a named list of filters to use as the rows in the folded matrix
`min`	the minimum number of matches a row must have to be considered, defaults to 1
`clean`	if TRUE, this will look for anything that will mess up a veris or MDS function and remove it, this includes empty rows and columns as well as columns with zero variance.

Each cell within the matrix will be a proprotion of incidents that either have the object or match the pattern passed in a names list, depending if the rows argument is a vector of column names or a names list of logical filters respectively.

jayjacobs/verisr documentation built on May 18, 2019, 5:57 p.m.