SummarySurvey: Summary statistics for sample surveys

In oswaldosantos/capm: Companion Animal Population Management

Description

Wraps functions for summary statistics from survey package.

Usage

SummarySurvey(design = NULL, variables = NULL, conf.level = 0.95,
  rnd = 3)

Arguments

design	an output form DesignSurvey function.
variables	character vector with the type of estimate for each variable contained in design (see details).
conf.level	the confidence level required.
rnd	the number of decimal places (round) or significant digits (signif) to be used. If NA, scientific notation is used.

Details

The length of variables must be equal to the length of names(design$variables) (see examples).

Value

Matrix with survey summaries.

References

Lumley, T. (2011). Complex surveys: A guide to analysis using R (Vol. 565). Wiley.

Baquero, O. S., Akamine, L. A., Amaku, M., & Ferreira, F. (2016). Defining priorities for dog population management through mathematical modeling. Preventive veterinary medicine, 123, 121-127.

http://oswaldosantos.github.io/capm

Examples

data("cluster_sample")
data("psu_ssu")

## Calibrated two-stage cluster design
cs <- cluster_sample[ , c("interview_id",
                          "census_tract_id",
                          "number_of_persons",
                          "number_of_dogs",
                          "number_of_cats")]

design <- DesignSurvey(na.omit(cs),
                       psu.ssu = psu_ssu,
                       psu.col = "census_tract_id",
                       ssu.col = "interview_id",
                       cal.col = "number_of_persons",
                       cal.N = 129445)

SummarySurvey(design, c("total", "total", "total"))

oswaldosantos/capm documentation built on May 24, 2019, 5:02 p.m.