Open a R session, download the package
and write: library(FAMT)
Yes, you can. The Annotations dataset is optional to create a FAMTdata (see asFAMTdata function).
You can use the package without applying the FA method.
The modelFAMT function performs classical multiple testing statistics when you put the argument 'nbf' equal to 0
(see Tutorial).
The as.FAMTdata function checks the consistency between Expression and Covariates. If there is no consistency, the FAMTdata is not
created.
The covariates dataset needs a column containing the array identification to match Expression and
Covariates. This identification column must be defined with the argument 'idcovar'.
The figure below shows the FAMTdata:
The as.FAMTdata function allows to impute missing values (we use the impute.knn function of the impute package). If you want to apply another method to impute missing values, select na.action=FALSE in the as.FAMTdata function (see Tutorial). However there must be no missing expression data to create a FAMTdata.