fix relative to examples #Rstat

R-package/man/xgb.plot.tree.Rd

@@ -43,9 +43,8 @@ data(agaricus.train, package='xgboost')
 #Both dataset are list with two items, a sparse matrix and labels 
 #(labels = outcome column which will be learned). 
 #Each column of the sparse Matrix is a feature in one hot encoding format.
-train <- agaricus.train
 
-bst <- xgboost(data = train$data, label = train$label, max.depth = 2, 
+bst <- xgboost(data = agaricus.train$data, label = agaricus.train$label, max.depth = 2, 
                eta = 1, nthread = 2, nround = 2,objective = "binary:logistic")
 
 #agaricus.test$data@Dimnames[[2]] represents the column names of the sparse matrix.