pmclust (version 0.1-1)

.1.set.global: Set global variables according to X.worker

Description

This function will set several sets of variables globally according to the X.worker.

Usage

set.global(K = 2, PARAM = NULL,
      method = c("em", "aecm", "apecm1", "apecm2", "kmeans"),
      RndEM.iter = 10)

Arguments

K

an original set of parameters generated by set.global.

PARAM

an original set of parameters generated by set.global.

method

an original set of parameters generated by set.global.

RndEM.iter

number of RndEM iterations.

Value

• A new set of PARAM will be returned and several global variables will be set according to the data X.worker.

  Use readme to see all global variables set by this function.

Details

WARNING: a global variable named X.worker should be set before calling this function where X.worker is a matrix containing data with dimension N.worker * p. i.e. N.worker observations and p variables.

References

High Performance Statistical Computing Website: http://thirteen-01.stat.iastate.edu/snoweye/hpsc/

See Also

em.step.worker, aecm.step.worker, apecm1.step.worker, apecm2.step.worker.

Examples

# Examples can be found in the help pages of em.step.worker(),
# aecm.step.worker(), apecm1.step.worker(), and apecm2.step.worker().