soptdmaeA-internal: Internal functions In soptdmaeA: Sequential Optimal Designs for Two-Colour cDNA Microarray Experiments

Description

Functions for internal usage only.

Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23``` ``` ## Computes A-optimal or near-optimal block or row-column designs ## using array exchange algorithm seqAoptbrcd.maeA(trt.N, blk.N, theta, nrep, strt, sary, des0, dtype) ## Computes MV-optimal or near-optimal block or row-column designs ## using array exchange algorithm seqMVoptbrcd.maeA(trt.N, blk.N, theta, nrep, strt, sary, des0, dtype) ## Computes A-optimal or near-optimal block or row-column designs ## using array exchange algorithm seqDoptbrcd.maeA(trt.N, blk.N, theta, nrep, strt, sary, des0, dtype) ## Computes A-optimal or near-optimal block or row-column designs ## using array exchange algorithm seqEoptbrcd.maeA(trt.N, blk.N, theta, nrep, strt, sary, des0, dtype) ```

Arguments

 `trt.N` integer, specifying number of treatments `v` of initial design, `des0`. `blk.N` integer, specifying number of arrays `b` of initial design, `des0`. `theta` numeric, representing a function of the ratio of random array variance and random error variance. It takes any value between 0 and 1, inclusive. `nrep` integer, specifying number of replications of the optimization procedure. `strt` a non-negative integer, specifying number of added treatments/conditions to the initial design. `sary` a non-negative integer, specifying number of added arrays to the initial design. `des0` matrix, a `2 x blk.N` or `blk.N x 2` initial block or row-column design. The initial design must be treatment connected and the number of treatments and arrays should also coincides with `trt.N` and `blk.N` inserted by the user, if this conditions are not satisfied, the package will stop running with an error message. `dtype` character, specifying the design type. For block designs, `dtype = "blkd"` and for row-column deigns, `dtype = "rcd"`.

Details

These functions are handled via a generic function `soptdmaeA`. Please refer to the `soptdmaeA` documentation for details.

Author(s)

Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines

References

Debusho, L. K., Gemechu, D. B., and Haines, L. M. (2016). Algorithmic construction of optimal block designs for two-colour cDNA microarray experiments using the linear mixed model. Under review.

Gemechu D. B., Debusho L. K. and Haines L. M. (2014). A-optimal designs for two-colour cDNA microarray experiments using the linear mixed effects model. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2014 (SASA 2014), Rhodes University, Grahamstown, South Africa. pp 33-40, ISBN: 978-1-86822-659-7.

See Also

`soptdmaeA`

soptdmaeA documentation built on May 1, 2019, 7:58 p.m.