| Version: | 1.0.3 |
| Date: | 2018-01-03 |
| Title: | Factorial Optimal Designs for Two-Colour cDNA Microarray Experiments |
| Author: | Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines |
| Maintainer: | Dibaba Bayisa Gemechu <diboobayu@gmail.com> |
| Depends: | R (≥ 3.4.0), MASS, partitions |
| License: | GPL-2 |
| Description: | Computes factorial A-, D- and E-optimal designs for two-colour cDNA microarray experiments. |
| NeedsCompilation: | no |
| Packaged: | 2018-01-06 09:29:45 UTC; Dibaba B Gemechu |
| Repository: | CRAN |
| Date/Publication: | 2018-01-08 13:53:34 UTC |
Factorial optimal designs for two-colour cDNA microarray experiments
Description
Used to compute factorial A-, D- or E-optimal designs for two-colour cDNA microarray experiments.
Usage
factoptd(narys, Optcrit = "", desvect,...)
## Default S3 method:
factoptd(narys, Optcrit = "", desvect,...)
## S3 method for class 'factoptd'
print(x, ...)
Arguments
narys |
integer, specifying number of arrays. |
desvect |
matrix, specifying design vectors (see Debusho, Haines and Gemechu (2014) for more details). |
Optcrit |
character, specifying the optimality criteria to be used. |
x |
the object to be printed. |
... |
not used. |
Details
factoptd computes factorial optimal designs for the two-colour cDNA microarray experiments for a given design vectors and number of arrays by making use to the complete enumeration methods proposed in Debusho, Haines and Gemechu (2014).
Value
Returns resultant factorial A-, D- or E-optimal design(s) with their corresponding score value. Specifically:
call |
the method call. |
b |
number of arrays. |
desvect |
Design vestors |
Optcrit |
optimality criteria. |
tnfd |
Total number of resultant optimal factorial design(s) |
optfctd |
obtained factorial optimal design. Each row of |
optscv |
score value of the optimality criteria |
NB: The function factoptd also saves the summary of the resultant factorial optimal design(s) in .csv format in the R session's temporary directory.
Author(s)
Dibaba Bayisa Gemechu, Legesse Kassa Debusho, and Linda Haines
References
Debusho, L. K., Gemechu, D. B. and Haines, L. M. (2014). Optimal Factorial Designs for Two-Colour Microarray Experiments: Properties Of Admissible Designs, A-, D- And E-Optimality Criteria. Peer-reviewed Proceedings of the Annual Conference of the South African Statistical Association for 2014 (SASA 2014), Rhodes University, Grahmstown, South Africa. pp 17 - 24, ISBN: 978-1-86822-659-7.
Examples
##To obtain factorial A-optimal design for a given
##design vector using 9 slides/arrays, set
narys <- 9 #Number of arrays
desvect = rbind(c(0,2,-2),c(-2,0,-2),
c(-2,2,0),c(0,2,2),
c(-2,0,2),c(-2,-2,0)) #Design vector
Optcrit <- "A" #Optimality criteria
factoptdA <- factoptd(narys = 9, Optcrit = "A", desvect =
rbind(c(0,2,-2),c(-2,0,-2),c(-2,2,0),c(0,2,2),c(-2,0,2),c(-2,-2,0)))
print(factoptdA)