fullrun {chartreview} | R Documentation |
Adaptive sampling algorithm which implements several types of sampling strategies
Description
Adaptive sampling algorithm which implements several types of sampling strategies
Usage
fullrun(
dat1,
S,
dat2,
mode = 1,
batchsize = 100,
raking = TRUE,
rakingmode = 3,
rakingthreshold = 0.05,
sdEstimate = mad,
minSamples = 10
)
Arguments
dat1 |
First dataset on which the strata are computed. |
S |
Matrix defining the strata. |
dat2 |
Second dataset on which confidence intervals are computed. |
mode |
Sampling mode (1 for random sampling, 2 for stratified random sampling, 3 for Neyman's sampling). |
batchsize |
Batch size in each wave. |
raking |
Boolean flag to switch on raking. |
rakingmode |
Option for raking (1 for random sampling, 2 for deterministic allocation, 3 for residual resampling). |
rakingthreshold |
Threshold for applying raking to a stratum. |
sdEstimate |
The estimate of the standard deviation as a function handle (usually sd or mad). |
minSamples |
Minimum number of samples used in each iteration. |
Value
List with the resampled datasets per wave.
References
.
Examples
require(chartreview)
[Package chartreview version 1.0 Index]