diff --git a/R-package/vignettes/discoverYourData.Rmd b/R-package/vignettes/discoverYourData.Rmd
index 761a71f77..17b760888 100644
--- a/R-package/vignettes/discoverYourData.Rmd
+++ b/R-package/vignettes/discoverYourData.Rmd
@@ -16,19 +16,15 @@ Introduction
 
 The purpose of this Vignette is to show you how to use **Xgboost** to discover and better understand your own dataset.
 
-You may know **Xgboost** as a state of the art tool to build some kind of Machine learning models. It has been [used](https://github.com/tqchen/xgboost) to win several [Kaggle](http://www.kaggle.com) competition. 
-
-During these competition, the purpose is to make prediction. This Vignette is not about showing you how to predict anything (see [Xgboost presentation](www.somewhere.org)). The purpose of this document is to explain how to use **Xgboost** to understand the *link* between the *features* of your data and an *outcome*.
+This Vignette is not about showing you how to predict anything (see [Xgboost presentation](www.somewhere.org)). The purpose of this document is to explain how to use **Xgboost** to understand the *link* between the *features* of your data and an *outcome*.
 
 For the purpose of this tutorial we will first load the required packages.
 
---> ADD PART REGARDING INSTALLATION FROM GITHUB
-
 ```{r libLoading, results='hold', message=F, warning=F}
 require(xgboost)
 require(Matrix)
 require(data.table)
-if (!require(vcd)) install.packages('vcd') 
+if (!require('vcd')) install.packages('vcd') 
 ```
 > **VCD** package is used for one of its embedded dataset only (and not for its own functions).
 
diff --git a/R-package/vignettes/xgboostPresentation.Rmd b/R-package/vignettes/xgboostPresentation.Rmd
index c3c98ed02..651aaa4a6 100644
--- a/R-package/vignettes/xgboostPresentation.Rmd
+++ b/R-package/vignettes/xgboostPresentation.Rmd
@@ -41,16 +41,27 @@ The purpose of this Vignette is to show you how to use **Xgboost** to make predi
 Installation
 ============
 
-For the purpose of this tutorial we will first load the required packages.
+For up-to-date version(which is *highly* recommended), please install from Github:
 
---> ADD PART REGARDING INSTALLATION FROM GITHUB
+```{r installGithub, eval=FALSE}
+devtools::install_github('tqchen/xgboost',subdir='R-package')
+```
+
+> *Windows* user will need to install [RTools](http://cran.r-project.org/bin/windows/Rtools/) first.
+
+For stable version on CRAN, please run
+
+```{r installCran, eval=FALSE}
+install.packages('xgboost')
+```
+
+For the purpose of this tutorial we will load the required package.
 
 ```{r libLoading, results='hold', message=F, warning=F}
 require(xgboost)
-require(methods)
 ```
 
-In this example, we are aiming to predict whether a mushroom can be eated.
+In this example, we are aiming to predict whether a mushroom can be eated (yeah, as always, example data are super interesting :-).
 
 Learning
 ========