alloc_summary: Summarizing the Allocation

In stratallo: Optimum Sample Allocation in Stratified Sampling

Summarizing the Allocation

Description

A utility that returns a simple data.frame summarizing the allocation returned by opt() or optcost().

Usage

alloc_summary(x, A, m = NULL, M = NULL)

Arguments

x	(numeric) sample allocations x_1,\ldots,x_H.
A	(numeric) population constants A_1,\ldots,A_H.
m	(numeric or NULL) optional lower bounds m_1,\ldots,m_H.
M	(numeric or NULL) optional upper bounds M_1,\ldots,M_H.

Value

A data.frame with H + 1 rows and up to seven variables, where H is the number of strata. The first H rows correspond to strata h = 1,\ldots,H, while the last row contains column totals (where applicable). The columns include:

A

Population constant A_h.

m*

Lower bound m_h (if provided).

M*

Upper bound M_h (if provided).

allocation

The optimized sample size x_h.

take_min*

Boolean indicator: x_h = m_h.

take_max*

Boolean indicator: x_h = M_h.

take_Neyman

Boolean indicator: m_h < x_h < M_h (or simply the internal Neyman allocation if no bounds were violated).

See Also

opt(), optcost().

Examples

A <- c(3000, 4000, 5000, 2000)
m <- c(100, 90, 70, 80)
M <- c(200, 150, 300, 210)

xopt_1 <- opt(n = 400, A, m)
alloc_summary(xopt_1, A, m)

xopt_2 <- opt(n = 540, A, m, M)
alloc_summary(xopt_2, A, m, M)

stratallo documentation built on March 12, 2026, 5:06 p.m.