SummarySurvey {capm}  R Documentation 
Summary statistics for sample surveys
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 
variables 

conf.level 
the confidence level required. 
rnd 
the number of decimal places (round) or significant digits (signif) to be used. If 
Details
The length of variables
must be equal to the length of names(design$variables)
(see examples).
Value
Matrix with survey summaries. The error (column "Error (
References
Lumley, T. (2011). Complex surveys: A guide to analysis using R (Vol. 565). Wiley.
Baquero, O. S., Marconcin, S., Rocha, A., & Garcia, R. D. C. M. (2018). Companion animal demography and population management in Pinhais, Brazil. Preventive Veterinary Medicine.
http://oswaldosantos.github.io/capm
Examples
data("cluster_sample")
data("psu_ssu")
## Calibrated twostage 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"))