pmclust (version 0.1-4)

Read Me First: Read Me First Function

Description

This function print the annotations of all variables used in this package.

Usage

readme()
  readme.dmat()

Value

• A readme message will print on screen by default and explain the global variables used in this package, including: ll{CHECK convergent checking CLASS.spmd true id of each data, a vector of length N.spmd and has values from 1 to K COMM.RANK rank of current processor, obtained from comm.rank of pbdMPI COMM.SIZE total processors in MPI world, obtained from comm.size of pbdMPI CONTROL controls for EM iterations PARAM set or parameters SAVE.param (debug only) save parameters for every iterations SAVE.iter (debug only) save computing time for every iterations U.spmd temporary storage for density W.spmd temporary storage for eta * density W.spmd.rowSums temporary storage for rowSums of W.spmd X.spmd generated data set with dimension with dimension N.spmd * p Z.colSums temporary storage for rowSums of Z.spmd Z.spmd posterior probabilities p.times.logtwopi p * log(2 * pi) } Each variable may contain several elements if it is a list, some variables are used for temporary storages in order to optimize computing, and some variables are used for constant variables. These variables may be restricted, and only generated by the function set.global.

  One can access these variables via the global environment .pmclustEnv such as .pmclustEnv$CONTROL.

Details

This package is optimized in the way by pre-specifying several global variables in .pmclustEnv. These variables will be overwrote by EM algorithms. Users should use these names to access the results and utilize them with cautions.

readme.dmat is a ddmatrix version of readme.

References

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

Programming with Big Data in R Website: http://r-pbd.org/

See Also

set.global, set.global.dmat.

Examples

readme()
readme.dmat()