sampletot: Samples Selection

In VDSPCalibration: Statistical Methods for Designing and Analyzing a Calibration Study

Description

Selects samples used in a calibration study

Usage

sampletot(x, index, n0, K)

Arguments

x	the old sample measurements needing calibration
index	the ID list of the old sample measurements needing calibration
n0	the required sample size
K	the number of quantiles, it is 4 if we use quartiles (recommended)

Details

The function selectes samples used in the calibration study

Value

x	the selected sample measurements to be used in the calibration study
index	the id list of the selected samples to be used in the calibration study

Author(s)

Durazo-Arvizu, Ramon, Sempos, Chris and Tian, Lu

References

Tian L., Durazo-Arvizu R. A., Myers G., Brooks S., Sarafin K., and Sempos C. T. (2014), The estimation of calibration equations for variables with heteroscedastic measurement errors, Statist. Med., 33, pages 4420-4436

Examples

VD.value= 60 + 25*rnorm(1000)
VD.index=1:1000

### x:     the VD value
### index: the index for VD value, it can be 1, 2, 3,....
### n0:    the number of samples we want to select
### K:     the number of quantiles, it is 4 if we use quartiles

sampletot(x=VD.value, index=VD.index, n0=100, K=4)

VDSPCalibration documentation built on May 2, 2019, 3:32 p.m.