Description Usage Arguments Details

View source: R/matrix.R View source: R/1.0/matrix.R

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.

vz-risk/verisr documentation built on Dec. 11, 2018, 1:33 a.m.

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