getGuidData: Unique identifiers for all rows of dfr and their matches in a...
In GLoMo: Naive General Location Model

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/GLoMo.r

Unique identifiers for all rows of dfr and their matches in glomo

1	getGuidData(glomo, dfr, guidPerObservation = NULL, whichHaveMissingCat, verbosity=0)

`glomo`	GLoMo object (result of `GLoMo` call with a 'matching' dfr)
`dfr`	`data.frame` or `numdfr` to get the uids for.
`guidPerObservation`	if some of the information is already present (e.g. the uids of the rows, you can pass them here)
`whichHaveMissingCat`	to avoid expensive `grep` calls, you can pass in which of the rows of `dfr` have missing categorical columns. If not passed, this is found by `grepl`ing for "\\d+"
`verbosity`	The higher this value, the more levels of progress and debug information is displayed (note: in R for Windows, turn off buffered output)

These uids are built with the function categoricalUniqueIdentifiers

List object of class GuidData with items:

`guidPerObservation`	Unique identifier (char vector) for each row in dfr
`possibleGlomoGuidPerObs`	list with for each row of dfr the rows in glomo that can be used for it
`separator`	The separator that was used (in glomo and now in the new uids)

Nick Sabbe (nick.sabbe@ugent.be)

GLoMo-package, NumDfr, categoricalUniqueIdentifiers

iris.md<-randomNA(iris, 0.1)
iris.md.nd<-numdfr(iris.md)
iris.nd.rnd<-rCatsAndCntInDfr(iris.md.nd, orgriName=NULL, verbosity=1)
iris.weights<-iris.nd.rnd$weights
iris.nd.rnd<-iris.nd.rnd[,1:5]
iris.glomo<-GLoMo(iris.nd.rnd, weights=iris.weights, verbosity=1)
iris.guids<-getGuidData(iris.glomo, dfr=iris.md.nd)