designANOVA {maigesPack} | R Documentation |
This function takes an object of class maiges
together
with other arguments and construct the matrices of design and
contrasts for adjusting ANOVA models. The design matrix are generated
using the function model.matrix
.
designANOVA(data=NULL, factors=names(data@Slabels), model=NULL, contrasts=NULL, ...)
data |
object of class maiges . |
factors |
vector of character strings specifying the sample labels IDs to be used as factors in the models. |
model |
a formula specifying the model to be fitted. |
contrasts |
character vector specifying the contrasts to be
done. This is done by the function makeContrasts
from package limma. Pay attention that we use the
treatment-control parametrisation. |
... |
additional parameters for function model.matrix . |
The result of this function is an object of class maigesANOVA
.
Gustavo H. Esteves <gesteves@vision.ime.usp.br>
model.matrix
, makeContrasts
,
deGenesANOVA
.
## Loading the dataset data(gastro) ## Constructing a maigesANOVA object for the 'Tissue' sample label using ## default model (simple linear model with intercept) and contrasts (all ## parameters are equal between themselves) gastro.ANOVA = designANOVA(gastro.summ, factors="Tissue") gastro.ANOVA