Description Usage Arguments Details Value References Examples
Wraps functions for summary statistics from survey package.
1 2  SummarySurvey(design = NULL, variables = NULL, conf.level = 0.95,
rnd = 3)

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 
The length of variables
must be equal to the length of names(design$variables)
(see examples).
Matrix with survey summaries.
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, 121127.
http://oswaldosantos.github.io/capm
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  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"))

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