58 lines
1.8 KiB
R
58 lines
1.8 KiB
R
# Internal function
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convertRListToJava <- function(lst){
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javaList <- .jnew(.class_ArrayList, as.integer(length(lst)))
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javaList <- .jcast(javaList, .class_List)
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for (item in lst){
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if (class(item) != "jobjRef" & class(item) != "jarrayRef"){
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stop("All items in the list must be rJava Java objects")
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}
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.jcall(javaList, "Z", "add", .jcast(item, .class_Object))
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}
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return(javaList)
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}
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#' @export
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print.SplitFinder = function(x, ...) print(x$call)
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#' @export
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print.ResponseCombiner = function(x, ...) print(x$call)
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#' @export
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print.JRandomForest <- function(x, ...){
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cat("Call:\n")
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print(x$call)
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cat("\nParameters:\n")
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cat("\tSplit Finder: "); print(x$params$splitFinder$call)
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cat("\tTerminal Node Response Combiner: "); print(x$params$nodeResponseCombiner$call)
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cat("\tForest Response Combiner: "); print(x$params$forestResponseCombiner$call)
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cat("\t# of trees: "); cat(x$params$ntree); cat("\n")
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cat("\t# of Splits: "); cat(x$params$numberOfSplits); cat("\n")
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cat("\t# of Covariates to try: "); cat(x$params$mtry); cat("\n")
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cat("\tNode Size: "); cat(x$params$nodeSize); cat("\n")
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cat("\tMax Node Depth: "); cat(x$params$maxNodeDepth); cat("\n")
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cat("Try using me with predict() or one of the relevant commands to determine error\n")
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}
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#' @export
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print.CompetingRiskFunctions.List <- function(x, ...){
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cat("Number of predictions: ")
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cat(length(x))
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cat("\n\nSee the help page ?CompetingRiskPredictions for a list of relevant functions on how to use this object.\n")
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}
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#' @export
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print.CompetingRiskFunctions <- function(x, ...){
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mx <- ncol(x$cif)
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cat(mx); cat(" CIFs available\n")
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cat(mx); cat(" CHFs available\n")
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cat("An overall survival curve available\n")
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cat("\nSee the help page ?CompetingRiskPredictions for a list of relevant functions on how to use this object.\n")
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}
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