replace iris in docs

R-package/man/predict-xgb.Booster-method.Rd

@@ -26,8 +26,12 @@ than 0. It will use all trees by default.}
 Predicted values based on xgboost model object.
 }
 \examples{
-data(iris)
-bst <- xgboost(as.matrix(iris[,1:4]),as.numeric(iris[,5]=='setosa'), nrounds = 2)
-pred <- predict(bst, as.matrix(iris[,1:4]))
+data(agaricus.train, package='xgboost')
+data(agaricus.test, package='xgboost')
+train <- agaricus.train
+test <- agaricus.test
+bst <- xgboost(data = train$data, label = train$label, max.depth = 2,
+               eta = 1, nround = 2,objective = "binary:logistic")
+pred <- predict(bst, test$data)
 }