Remove max.depth in R gblinear example. (#5753)

doc/R-package/xgboostPresentation.md

@@ -407,7 +407,7 @@ Until now, all the learnings we have performed were based on boosting trees. **X
 
 
 ```r
-bst <- xgb.train(data=dtrain, booster = "gblinear", max.depth=2, nthread = 2, nrounds=2, watchlist=watchlist, eval.metric = "error", eval.metric = "logloss", objective = "binary:logistic")
+bst <- xgb.train(data=dtrain, booster = "gblinear", nthread = 2, nrounds=2, watchlist=watchlist, eval.metric = "error", eval.metric = "logloss", objective = "binary:logistic")
 ```
 
 ```
@@ -493,19 +493,19 @@ xgb.dump(bst, with_stats = T)
 ```
 
 ```
-## [1] "booster[0]" 
+## [1] "booster[0]"
 ## [2] "0:[f28<-1.00136e-05] yes=1,no=2,missing=1,gain=4000.53,cover=1628.25"
-## [3] "1:[f55<-1.00136e-05] yes=3,no=4,missing=3,gain=1158.21,cover=924.5" 
-## [4] "3:leaf=1.71218,cover=812" 
-## [5] "4:leaf=-1.70044,cover=112.5" 
+## [3] "1:[f55<-1.00136e-05] yes=3,no=4,missing=3,gain=1158.21,cover=924.5"
+## [4] "3:leaf=1.71218,cover=812"
+## [5] "4:leaf=-1.70044,cover=112.5"
 ## [6] "2:[f108<-1.00136e-05] yes=5,no=6,missing=5,gain=198.174,cover=703.75"
-## [7] "5:leaf=-1.94071,cover=690.5" 
-## [8] "6:leaf=1.85965,cover=13.25" 
-## [9] "booster[1]" 
+## [7] "5:leaf=-1.94071,cover=690.5"
+## [8] "6:leaf=1.85965,cover=13.25"
+## [9] "booster[1]"
 ## [10] "0:[f59<-1.00136e-05] yes=1,no=2,missing=1,gain=832.545,cover=788.852"
-## [11] "1:[f28<-1.00136e-05] yes=3,no=4,missing=3,gain=569.725,cover=768.39" 
-## [12] "3:leaf=0.784718,cover=458.937" 
-## [13] "4:leaf=-0.96853,cover=309.453" 
+## [11] "1:[f28<-1.00136e-05] yes=3,no=4,missing=3,gain=569.725,cover=768.39"
+## [12] "3:leaf=0.784718,cover=458.937"
+## [13] "4:leaf=-0.96853,cover=309.453"
 ## [14] "2:leaf=-6.23624,cover=20.4624"
 ```