MoE_Y: Margin of error for count

In surveyplanning: Survey Planning Tools

Description

The function computes margin of error for count. The calculation takes into proportion, expected response rate and design effect.

Usage

MoE_Y(P = 0.5, n, pop, confidence = 0.95, R = 1, deff_sam = 1, deff_est = 1)

Arguments

P	The expected proportion for variable of interest.
n	The expected sample size.
pop	Population size.
confidence	Optional positive value for confidence interval. This variable by default is 0.95.
R	The expected response rate (optional). If not defined, it is assumed to be 1 (full-response).
deff_sam	The expected design effect of sample design for the estimates (optional). If not defined, it is assumed to be 1.
deff_est	The estimated design effect of estimator for the estimates (optional). If not defined, it is assumed to be 1.

Value

The estimate of margin of error for count.

See Also

expvar, optsize, MoE_P

Examples

library("data.table")
n <- 100
pop <- 1000

MoE_Y(P = 0.5, n = n, pop = pop)

DT <- data.table(P = seq(0, 1, 0.01))
DT[, Y := round(pop * P)]
DT[, AMoE := MoE_Y(P, n = 100, pop = 1000)]
DT[Y > 0, RMoE := AMoE / Y]
DT

surveyplanning documentation built on July 1, 2020, 10:38 p.m.