R/gespeR-generics.R

In gespeR: Gene-Specific Phenotype EstimatoR

#' @export
if (!isGeneric("summary")) {
  setGeneric(name="summary",
             def=function(object, ...) {
               standardGeneric("summary")
             },
             package="gespeR"
  )  
}
setMethod(f="summary",
          signature=signature(object="gespeR"),
          definition=function(object) {
            cat("gespeR model\n")
            cat("is fitted:", ifelse(object@is.fitted, "YES", "NO"), "\n")
            cat("targets loaded: ", ifelse(object@target.relations@is.loaded, "YES", "NO"), "\n")
            if (object@is.fitted) {
              cat("type:", object@model$type, "\n")
              if(object@model$type == "stability") {
                cat("EV:", object@model$stability$EV, "\n")
                cat("threshold:", object@model$stability$threshold, "\n")
                cat("nbootstrap:", object@model$stability$nbootstrap, "\n")
              }
              if (object@model$type == "cv") {
                cat("alpha:", object@model$cv$alpha, "\n")
              }
#               cat("selected genes:", length(scores(object, type = ifelse(object@is.fitted, "GSP", "SSP"))), "\n")
            }            
          }
)

setMethod(f = "show",
          signature = signature(object = "gespeR"),
          definition = function(object) {
            if (object@is.fitted) {
              if (object@model$type == "cv") {
                res <- as.data.frame(object@GSP) %>% tbl_df()
                res <- res[order(res$Scores, decreasing = TRUE),]
              } else if (object@model$type == "stability") {
                res <- data.frame(as.data.frame(object@GSP),
                                  "Stability" = object@model$stability$frequency) %>% tbl_df()
                res <- res[order(res$Stability, decreasing = TRUE),]
              } else {
                stop("Unknown type")
              }
              print(res)
            } else {
              cat("Model not fitted.\n")
            }
          }
)
setMethod(f = "show",
          signature = signature("Phenotypes"),
          function(object) {
            cat(sprintf("%d %s Phenotypes\n\n", length(object@ids), object@type))
            print(as.data.frame(object) %>% tbl_df())
          }
)
setMethod(f = "show",
          signature = signature("TargetRelations"),
          function(object) {            
            if(object@is.loaded) {
              cat(sprintf("%d x %d siRNA-to-gene relations.\n", nrow(object@values), ncol(object@values)))
              print(object@values[1:min(nrow(object@values), 10), 1:min(ncol(object@values), 5)])
              cat("...\n")
            } else {
              cat("Values not loaded:", object@path, "\n")
            }
          }
)

#' Subsetting for Phenotype objects.
#' 
#' @author Fabian Schmich
#'
#' @param x A \code{\linkS4class{Phenotypes}} object
#' @param i The subsetting indices for siRNAs
#' @param j Subsetting indices for multivariate phenotypes
#' @param drop Drop Redundant Extent Information
#' @param ... Additional parameters
#' @return A \code{\linkS4class{Phenotypes}} object
setMethod(f = "[",
          signature=signature(x = "Phenotypes", i = "ANY", j = "ANY"),
          def=function(x, ...){
            #             if (any(is.na(i)))
            #               stop("subscript 'i' contains NA")      
            if(missing(i)) i <- 1:nrow(slot(x, "values"))
            if(missing(j)) j <- 1:ncol(slot(x, "values"))
            result = new("Phenotypes", 
                         type = slot(x, "type"),
                         ids = slot(x, "ids")[i, drop = FALSE],
                         pnames = slot(x, "pnames")[j, drop = FALSE],
                         values = slot(x, "values")[i, j, drop = FALSE]
            )
            return(result)
          }
)

#' Subsetting for TargetRelations objects.
#' 
#' @author Fabian Schmich
#'
#' @param x A \code{\linkS4class{TargetRelations}} object
#' @param i The row subsetting indices (siRNAs)
#' @param j The column subsetting indeces (genes)
#' @param drop Drop Redundant Extent Information
#' @param ... Additional parameters
#' @return A \code{\linkS4class{TargetRelations}} object
setMethod(f = "[",
          signature=signature(x = "TargetRelations", i = "ANY", j = "ANY"),
          def=function(x, i, j, ...){
            if (missing(i)) i <- 1:nrow(x@values)
            if (missing(j)) j <- 1:ncol(x@values)
            #             if (any(is.na(i)) | any(is.na(j)))
            #               stop("subscript 'i' contains NA")
            is.loaded <- x@is.loaded
            if (!is.loaded) x <- loadValues(x)
            result = new("TargetRelations", 
                         siRNAs = slot(x, "siRNAs")[i, drop = FALSE],
                         genes = slot(x, "genes")[j, drop = FALSE],
                         values = slot(x, "values")[i, j, drop = FALSE], 
                         path = slot(x, "path"),
                         is.loaded = is.loaded
            )
            if (!is.loaded) result <- unloadValues(result)
            return(result)
          }
)

#' Dimension of a \code{\linkS4class{Phenotypes}} object
#' 
#' @author Fabian Schmich
#' 
#' @param x \code{\linkS4class{Phenotypes}} object
#' @return Dimension of the \code{\linkS4class{Phenotypes}} object
setMethod(f = "dim",
          signature = signature("Phenotypes"),
          function(x) {            
            dim(x@values)
          }
)