The code that generates the data object dbs.all used in the figures for Section 7.5 of the DiffBind vignette can be viewed in the vignette source file. I'll copy the code chunk here:

data(tamoxifen_analysis)
dbs.all <- NULL
for(norm in c("lib","RLE","TMM", "loess")) {
  for(libsize in c("full","RiP","background")) {
    tam <- NULL
    background <- offsets <- FALSE
    if(libsize == "full" && norm != "lib") {
      background <- NULL
    }
    if(libsize == DBA_LIBSIZE_BACKGROUND) {
      background <- TRUE
      if(norm == DBA_NORM_LIB) {
        background <- NULL
      }
    } 
    if(norm == "loess" && !is.null(background)) {
      offsets <- TRUE
      if(libsize != "background") {
        background <- FALSE
      } else {
        background <- NULL
      }
    }
    if(!is.null(background)) {
      tam <- dba.normalize(tamoxifen, method=DBA_ALL_METHODS,
                           normalize=norm, library=libsize, 
                           background=background, offsets=offsets)
    }
    if(!is.null(tam)) {
      tam <- dba.analyze(tam, method=DBA_ALL_METHODS)
      for(meth in DBA_ALL_METHODS) {
        db <- dba.report(tam, method=meth, bDB=TRUE)
        if(meth == DBA_EDGER) {
          methstr <- "edgeR"
        } else {
          methstr <- "DESeq2"
        }
        if(libsize == "background") {
          libstr <- "BG"
        } else {
          libstr <- libsize
        }
        id <- paste(norm,libstr,methstr,sep="_")
        if(libsize == "full") {
          libstr <- "BG"
        }
        if(is.null(dbs.all)) {
          dbs.all <- db
          dbs.all$config$factor    <- "Normalization Method"
          dbs.all$config$condition <- "Reference Reads"
          dbs.all$config$treatment <- "Analysis Method"
          dbs.all$class[DBA_ID,]  <- colnames(dbs.all$class)[1] <- id

          dbs.all$class[DBA_FACTOR,]    <- norm
          dbs.all$class[DBA_CONDITION,] <- libstr
          dbs.all$class[DBA_TREATMENT,] <- "edgeR"
          dbs.all$class[DBA_TISSUE,]    <- NA
        } else {
          db$class[DBA_ID,]        <- id
          db$class[DBA_FACTOR,]    <- norm
          db$class[DBA_CONDITION,] <- libstr
          db$class[DBA_TREATMENT,] <- methstr
          db$class[DBA_TISSUE,]    <- NA
          dbs.all <- dba.peakset(dbs.all,db)
        }
      }
    }
  }
}
dbs.all <- dba(dbs.all,minOverlap=1)
dbs.all