numdfr.rep: Functions for 'numdfr.rep' objects

In NumDfr: Provide a performant alternative to data.frame wrt factors

Description

All functions (S3) that are provided for numdfr are also provided for numdfr.rep

Usage

## S3 method for class 'numdfr.rep'
x[i, j, returnAsMatrix = drop, drop = FALSE]
## S3 replacement method for class 'numdfr.rep'
x[i, j] <- value
## S3 method for class 'numdfr.rep'
length(x)
## S3 method for class 'numdfr.rep'
dimnames(x)
## S3 replacement method for class 'numdfr.rep'
dimnames(x) <- value
## S3 method for class 'numdfr.rep'
dim(x)
## S3 method for class 'numdfr.rep'
names(x)
## S3 replacement method for class 'numdfr.rep'
names(x) <- value
is.numdfr.rep(x)
## S3 method for class 'numdfr.rep'
as.double(x,...)
## S3 method for class 'numdfr.rep'
is.na(x)
## S3 method for class 'numdfr.rep'
str(object,...)
## S3 method for class 'numdfr.rep'
as.list(x, returnFactors=TRUE,...)
## S3 method for class 'numdfr.rep'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
## S3 method for class 'numdfr.rep'
findCatColNums(dfr)
## S3 method for class 'numdfr.rep'
findOrderedColNums(dfr)
## S3 method for class 'numdfr.rep'
rbind(..., original.data, ensure.unique.rownames=FALSE, separator=".", postfixcol=NULL, allowemptypostfix=TRUE, deparse.level = 1)
## S3 method for class 'numdfr.rep'
print(x, ..., digits = NULL, quote = FALSE, right = TRUE, row.names = TRUE)
## S3 method for class 'numdfr.rep'
display(dfr)
## S3 method for class 'numdfr.rep'
as.matrix(x, ...)
## S3 method for class 'numdfr.rep'
allLevels(x, onlyNonEmpty=FALSE)
## S3 method for class 'numdfr.rep'
allOrderedFacts(x, onlyNonEmpty=FALSE)
## S3 method for class 'numdfr.rep'
x[[..., exact=TRUE]]
## S3 method for class 'numdfr.rep'
x$name
## S3 method for class 'numdfr.rep'
factorsToDummyVariables(dfr, ...)
## S3 method for class 'numdfr.rep'
originalDataset(x)

Arguments

x,i,j,returnAsMatrix, drop, value, object, returnFactors, row.names, optional, dfr, ensure.unique.rownames, separator, postfixcol, allowemptypostfix, deparse.level, digits, quote, right, onlyNonEmpty, exact, name	see equally named method for numdfr
original.data	for rbind: if the original data is shared anyway, pass it along again if possible to avoid some calculations + to ensure memory reuse (!)
...	(typically) ignored

Value

see equally named method for numdfr

Note

Current implementation needs work (optimization, special case handling,...)

As of today, the assignments have as their only implementation to fail!

originalDataset simply returns the underlying 'original', repeated dataset (numdfr).

Author(s)

Nick sabbe

See Also

NumDfr, [, numdfr, [.numdfr, [<-.numdfr, length.numdfr, dimnames.numdfr, dimnames<-.numdfr, dim.numdfr, names.numdfr, names<-.numdfr, is.numdfr, as.double.numdfr, is.na.numdfr, str.numdfr, as.list.numdfr, as.data.frame.numdfr, findCatColNums.numdfr, rbind.numdfr, print.numdfr, display.numdfr, as.matrix.numdfr, allLevels.numdfr, [[.numdfr, $.numdfr, reduce.numdfr, as.numdfr, as.numdfr.rep, factorsToDummyVariables.numdfr.rep

Examples

	iris.cpy<-iris
	rownames(iris.cpy)<-paste(seq(nrow(iris.cpy)), "_", sep="")
	iris.nd<-numdfr(iris.cpy)
	samplesomerows1<-sort(sample(nrow(iris.nd), 50, replace=TRUE))
	samplesomerows2<-sort(sample(nrow(iris.nd), 50, replace=TRUE))
	iris.na<-numdfr(randomNA(iris.cpy, n=0.1))
	
	iris.nd1<-iris.nd[samplesomerows1,]
	iris.nd2<-iris.nd[samplesomerows1,]
	
	iris.red1<-reduce(iris.nd1, iris.na)
	iris.red2<-reduce(iris.nd2, iris.na)
	
	str(iris.red1)
	dimnames(iris.red1)
	
	iris.red<-rbind(iris.red1, iris.red2)
	dimnames(iris.red)
	str(iris.red)
	
	## Not run: display(iris.red)
	#this should give the same results
	iris.subred<-iris.red[51:53,]
	print(iris.red[51:53,])
	print(iris.red2[1:3,])

NumDfr documentation built on May 2, 2019, 5:50 p.m.