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

This function works in a similar fashion like the `svyPVlevel`

function. It discretizes the plausible values to a dichotomous variable and estimates the proportion of population totals above and below the benchmark within the comitted groups (by statement).

1 | ```
svyPVbenchmark(by, svydat, pvs, BENCH=NA, colN=FALSE)
``` |

`by` |
A formula statement is expected which splits the data into several subsets. |

`svydat` |
A survey design ( |

`pvs` |
A character vector which includes the colnames of the plausible values. These variables must be part of the survey design comitted as |

`BENCH` |
Submit a benchmark (numeric vector of length = 1). A plausible value will be assigned to "< benchmark" if it is below the benchmark and assigned to ">= benchmark" if it is on or above the benchmark. |

`colN` |
If TRUE the colnames will equal the grouping variable names from the by statement. If FALSE, which is the default, the names will be Group1 up to Group k. |

The function returns a data.frame with the following columns

`Group1..k` |
The first k-1 columns show the different levels of the k-1 subsetting groups, provided with |

`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. |

`Proportion` |
Contains the estimate of the conditional proportion of persons below and on/above the benchmark given the categories of the first k-1 groups. |

`Proportion.SE` |
Contains the SE of the proportion estimate. |

Manuel Reif

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.

1 2 3 4 5 6 | ```
data(svy_example1)
erg_ben <- svyPVbenchmark(by = ~ sex, svydat=svy.exrep,
pvs=c("plaus1","plaus2","plaus3"), BENCH=320)
erg_ben
``` |

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