svyPVcor: Survey-weighted Correlation Estimation with uasge of...

In manuelreif/svyPVpack: A package for complex surveys including plausible values

Survey-weighted Correlation Estimation with uasge of palusible values.

Description

svyPVcor estimates the Pearson product-moment correlation coefficient and its standard error for data from a complex survey design with plausible values.

Usage

svyPVcor(formula, design, placeholder = 1:10)

Arguments

formula	Formula, x~y for the correlation between x and y (both variables have to be part of a survey design objecct created by the survey package). For a notation description for the plausible values see in 'details'.
design	A survey design which was generated by the survey package .
placeholder	A vector of symbols, which were used for numbering of the plausible values. For a detailed description see in 'details'.

Details

All variables mentioned in the formula object must be part of the survey design object. Instead of the symbols, which were used for numbering the plausible values use '..' as notation (e.g. placeholder = 1:5 and PVLIT.. stands for PVLIT1, PVLIT2, PVLIT3, PVLIT4, PVLIT5).Missing values are deleted listwise.

Value

The function returns a data.frame with the following columns

COR	Shows the Pearson product-moment correlation coefficient between x and y.
SE	Shows the SE for the Pearson product-moment correlation between x and y.
Number.of.cases	Shows the unweighted number of cases (NA's excluded) within each group.
Sum.of.weights	Shows the sum of weights (NA's excluded) within each group.

Author(s)

Jakob Peterbauer

References

Lumley, T. (2010). Complex Surveys. Hoboken, NJ: Wiley.

Saerndal, C.-E. & Swensson, B. & Wretman, J. (1992). Model Assisted Survey Sampling. New York: Springer.

Chaudhuri, A. & Stenger, H. (2005). Survey Sampling. Theory and Methods. Boka Raton, FL: Chapman & Hall/CRC.

See Also

cov.wt, svyPVeta

Examples

# data(svy_example1)

manuelreif/svyPVpack documentation built on Nov. 27, 2024, 1:31 a.m.