errorLocalizer_mip: Localize errors using a MIP approach.
In editrules: Parsing, Applying, and Manipulating Data Cleaning Rules

Description Usage Arguments Value Details References See Also

Localize errors using a MIP approach.

1 2	errorLocalizer_mip(E, x, weight = rep(1, length(x)), maxduration = 600L, verbose = "neutral", lpcontrol = getOption("er.lpcontrol"), ...)

`E`	an `editset`, `editmatrix`, or `editarray`
`x`	named `numeric` with data
`weight`	`numeric` with weights
`maxduration`	number of seconds that is spent on finding a solution
`verbose`	verbosity argument that will be passed on to `solve` lpSolveAPI
`lpcontrol`	named `list` of arguments that will be passed on to `lp.control`. `maxduration` will override `lpSolve`'s `timeout` argument.
`...`	other arguments that will be passed on to `solve`.

list with solution weight w, logical adapt stating what to adapt, x_feasible and the lp problem (an lpExtPtr object)

errorLocalizer_mip uses E and x to define a mixed integer problem and solves this problem using lpSolveApi. This function can be much faster then errorLocalizer but does not return the degeneracy of a solution. However it does return an bonus: x_feasible, a feasible solution.

E. De Jonge and Van der Loo, M. (2012) Error localization as a mixed-integer program in editrules (included with the package)

lp_solve and Kjell Konis. (2011). lpSolveAPI: R Interface for lp_solve version 5.5.2.0. R package version 5.5.2.0-5. http://CRAN.R-project.org/package=lpSolveAPI

localizeErrors, errorLocalizer, errorLocation

editrules documentation built on May 1, 2019, 6:32 p.m.