I use DESeq2 package for differential expression analysis ,where df is the the count data.
##do differential expression
dds <- DESeqDataSetFromMatrix(countData = data1,colData = pdata,design = ~ condition )
#reference is group2,so up means up in group1 and down means down in group1.
dds$condition <- relevel(dds$condition, "group2")
res <- results(dds)
I wanted to know what test is used in this by default "Wald test or LRT test or no test " because I am not specifying anything in my command.