Print svyplan objects

Usage

# S3 method for class 'svyplan_n'
print(x, ...)

# S3 method for class 'svyplan_cluster'
print(x, ...)

# S3 method for class 'svyplan_prec'
print(x, ...)

# S3 method for class 'svyplan_varcomp'
print(x, ...)

# S3 method for class 'svyplan_power'
print(x, ...)

# S3 method for class 'svyplan_n'
format(x, ...)

# S3 method for class 'svyplan_cluster'
format(x, ...)

# S3 method for class 'svyplan_prec'
format(x, ...)

# S3 method for class 'svyplan_varcomp'
format(x, ...)

# S3 method for class 'svyplan_power'
format(x, ...)

# S3 method for class 'svyplan_n'
summary(object, ...)

# S3 method for class 'svyplan_cluster'
summary(object, ...)

# S3 method for class 'svyplan_prec'
summary(object, ...)

# S3 method for class 'svyplan_varcomp'
summary(object, ...)

# S3 method for class 'svyplan_power'
summary(object, ...)

# S3 method for class 'svyplan_n'
confint(object, parm, level = 0.95, ...)

# S3 method for class 'svyplan_prec'
confint(object, parm, level = 0.95, ...)

# S3 method for class 'svyplan_n'
as.integer(x, ...)

# S3 method for class 'svyplan_n'
as.double(x, ...)

# S3 method for class 'svyplan_cluster'
as.integer(x, ...)

# S3 method for class 'svyplan_cluster'
as.double(x, ...)

# S3 method for class 'svyplan_power'
as.integer(x, ...)

# S3 method for class 'svyplan_power'
as.double(x, ...)

# S3 method for class 'svyplan_strata'
print(x, ...)

# S3 method for class 'svyplan_strata'
format(x, ...)

# S3 method for class 'svyplan_strata'
summary(object, ...)

# S3 method for class 'svyplan_strata'
as.data.frame(x, ...)

# S3 method for class 'svyplan_strata'
as.integer(x, ...)

# S3 method for class 'svyplan_strata'
as.double(x, ...)

Arguments

x: A svyplan object.
...: Additional arguments (currently unused).
object: A svyplan object (for summary and confint methods).
parm: Ignored (included for S3 consistency with confint()).
level: Confidence level (default 0.95).

Value

x (or object), invisibly.

Details

For svyplan_cluster objects, per-stage sizes are ceiled to integers for operational use. The total shown by print(), format(), and as.integer() is the product of ceiled per-stage sizes — the number of interviews to actually conduct. The unrounded continuous optimum (x$total_n) is shown in parentheses and returned by as.double().

Summary: as.integer(x) = operational total (what goes in the field), as.double(x) = continuous optimum (what the math solved for).