e4ddm {samplesize4surveys} | R Documentation |
Statistical errors for the estimation of a double difference of means
Description
This function computes the cofficient of variation and the standard error when estimating a double difference of means under a complex sample design.
Usage
e4ddm(
N,
n,
mu1,
mu2,
mu3,
mu4,
sigma1,
sigma2,
sigma3,
sigma4,
DEFF = 1,
conf = 0.95,
T = 0,
R = 1,
plot = FALSE
)
Arguments
N |
The population size. |
n |
The sample size. |
mu1 |
The value of the estimated mean of the variable of interes for the first population. |
mu2 |
The value of the estimated mean of the variable of interes for the second population. |
mu3 |
The value of the estimated mean of the variable of interes for the third population. |
mu4 |
The value of the estimated mean of the variable of interes for the fourth population. |
sigma1 |
The value of the estimated variance of the variable of interes for the first population. |
sigma2 |
The value of the estimated mean of a variable of interes for the second population. |
sigma3 |
The value of the estimated variance of the variable of interes for the third population. |
sigma4 |
The value of the estimated mean of a variable of interes for the fourth population. |
DEFF |
The design effect of the sample design. By default |
conf |
The statistical confidence. By default |
T |
The overlap between waves. By default |
R |
The correlation between waves. By default |
plot |
Optionally plot the errors (cve and margin of error) against the sample size. |
Details
We note that the coefficent of variation is defined as:
cve = \frac{\sqrt{Var((\bar{y}_1 - \bar{y}_2)-(\bar{y}_1 - \bar{y}_2))}}{(\bar{y}_1 - \bar{y}_2)-(\bar{y}_3 - \bar{y}_4)}
Also, note that the magin of error is defined as:
\varepsilon = z_{1-\frac{\alpha}{2}}\sqrt{Var((\bar{y}_1 - \bar{y}_2)-(\bar{y}_3 - \bar{y}_4))}
Value
The coefficient of variation and the margin of error for a predefined sample size.
Author(s)
Hugo Andres Gutierrez Rojas <hagutierrezro at gmail.com>
References
Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros. Editorial Universidad Santo Tomas
See Also
Examples
e4ddm(N=10000, n=400, mu1=50, mu2=55, mu3=50, mu4=65,
sigma1 = 10, sigma2 = 12, sigma3 = 10, sigma4 = 12)
e4ddm(N=10000, n=400, mu1=50, mu2=55, mu3=50, mu4=65,
sigma1 = 10, sigma2 = 12, sigma3 = 10, sigma4 = 12, plot=TRUE)
e4ddm(N=10000, n=400, mu1=50, mu2=55, mu3=50, mu4=65,
sigma1 = 10, sigma2 = 12, sigma3 = 10, sigma4 = 12, DEFF=3.45, conf=0.99, plot=TRUE)