[R] How do I call a C++ function (for k-means) within R?

[cdevlin48]

I am trying to call a C++ k-means function within R and I am struggling. I
know that the below code is used to call a C++ function for gbm but how do I
do it for k-means?

gbm.obj <- .Call("gbm",
                    Y=as.double(y),
                    Offset=as.double(offset),
                    X=as.double(x),
                    X.order=as.integer(x.order),
                    weights=as.double(w),
                    Misc=as.double(Misc),
                    cRows=as.integer(cRows),
                    cCols=as.integer(cCols),
                    var.type=as.integer(var.type),
                    var.monotone=as.integer(var.monotone),
                    distribution=as.character(distribution.call.name),
                    n.trees=as.integer(n.trees),
                    interaction.depth=as.integer(interaction.depth),
                    n.minobsinnode=as.integer(n.minobsinnode),
                    n.classes = as.integer(nClass),
                    shrinkage=as.double(shrinkage),
                    bag.fraction=as.double(bag.fraction),
                    nTrain=as.integer(nTrain),
                    fit.old=as.double(NA),
                    n.cat.splits.old=as.integer(0),
                    n.trees.old=as.integer(0),
                    verbose=as.integer(verbose),
                    PACKAGE = "gbm")

   names(gbm.obj) <- c("initF","fit","train.error","valid.error",
                       "oobag.improve","trees","c.splits")

   gbm.obj$bag.fraction <- bag.fraction
   gbm.obj$distribution <- distribution
   gbm.obj$interaction.depth <- interaction.depth
   gbm.obj$n.minobsinnode <- n.minobsinnode
   gbm.obj$num.classes <- nClass
   gbm.obj$n.trees <- length(gbm.obj$trees) / nClass
   gbm.obj$nTrain <- nTrain
   gbm.obj$train.fraction <- train.fraction
   gbm.obj$response.name <- response.name
   gbm.obj$shrinkage <- shrinkage
   gbm.obj$var.levels <- var.levels
   gbm.obj$var.monotone <- var.monotone
   gbm.obj$var.names <- var.names
   gbm.obj$var.type <- var.type
   gbm.obj$verbose <- verbose
   gbm.obj$Terms <- NULL




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