This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Author | Denise Scholtens |

Date of publication | None |

Maintainer | Denise Scholtens <dscholtens@northwestern.edu> |

License | LGPL |

Version | 1.50.0 |

**contrasts:** Construct appropriate lambda matrix and test linear contrasts...

**estrogen:** Microarray Data from an Experiment on Breast Cancer Cells

**findFC:** A function to find the fold change between two experimental...

**kRepsOverA:** A filter function for at least k sets of replicates in a...

**outliers:** Detect single outliers in experimental designs with only two...

factDesign/DESCRIPTION

factDesign/NAMESPACE

factDesign/R

factDesign/R/contrastTest.R
factDesign/R/findFC.R
factDesign/R/kRepsOverA.R
factDesign/R/madOutPair.R
factDesign/R/outlierPair.R
factDesign/R/par2lambda.R
factDesign/build

factDesign/build/vignette.rds

factDesign/data

factDesign/data/estrogen.rda

factDesign/inst

factDesign/inst/doc

factDesign/inst/doc/factDesign.R

factDesign/inst/doc/factDesign.Rnw

factDesign/inst/doc/factDesign.pdf

factDesign/man

factDesign/man/contrasts.Rd
factDesign/man/estrogen.Rd
factDesign/man/findFC.Rd
factDesign/man/kRepsOverA.Rd
factDesign/man/outliers.Rd
factDesign/vignettes

factDesign/vignettes/factDesign.Rnw

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