| anota2seqGetCovariates {anota2seq} | R Documentation |
Retrieve from an Anota2seqDataSet the covariate(s) to be used in the APV model i.e. the annotation of the samples according to their treatments and batch (when provided).
anota2seqGetCovariates(object) ## S4 method for signature 'Anota2seqDataSet' anota2seqGetCovariates(object)
object |
An Anota2seqDataSet. |
A list of 2 elements named "phenoVec" and "batchVec" containing the corresponding covariates to be used for the analysis.
data(anota2seq_data)
# Initialize Anota2seqDataSet
Anota2seqDataSet <- anota2seqDataSetFromMatrix(
dataP = anota2seq_data_P[1:100,],
dataT = anota2seq_data_T[1:100,],
phenoVec = anota2seq_pheno_vec,
batchVec = c(1, 2, 3, 4, 1, 2, 3, 4),
dataType = "RNAseq",
normalize = TRUE)
# Run analysis of differential translation
Anota2seqDataSet <- anota2seqAnalyze(Anota2seqDataSet,
analysis = "translation")
covariates <- anota2seqGetCovariates(Anota2seqDataSet)
covariates
# $phenoVec
# [1] "ctrl" "ctrl" "ctrl" "ctrl" "treatment" "treatment"
# [7] "treatment" "treatment"
#
# $batchVec
# [1] "1" "2" "3" "4" "1" "2" "3" "4"