transformprn: Permanent random number transformation

In prnsamplr: Permanent Random Number Sampling

Permanent random number transformation

Description

Transformation of the permanent random numbers used in the sampling procedure, to control the overlap between samples, and thus control the sample coordination. The method used is specified in Lindblom and Teterukovsky (2007).

Usage

transformprn(df, prn, direction, start)

Arguments

df	Data frame containing the elements to sample from.
prn	Variable in df containing the permanent random numbers.
direction	"U" or "R" for upwards, or to the right on the real-number line. "D" or "L" for downwards, or to the left on the real-number line.
start	Starting point for the transformation.

Value

Copy of the input data frame with the permanent random numbers transform according to specification, along with the numeric variable prn.old containing the non-transformed permanent random numbers.

References

Lindblom, A. and Teterukovsky, A. (2007). "Coordination of Stratified Pareto pps Samples and Stratified Simple Random Samples at Statistics Sweden." In Papers presented at the ICES-III, June 18-21, 2007, Montreal, Quebec, Canada.

See Also

prnsamplr, samp, srs, pps, ExampleData.

Examples

dfOut <- transformprn(df=ExampleData, prn="rands", direction="U", start=0.2)

prnsamplr documentation built on March 31, 2023, 5:42 p.m.