diff --git a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md
index 9c1e092a72d6294a9c5b91f0cd3459bc8e215ebb..866bd657e225fddd466f4e58b97097eae5598e8b 100644
--- a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md
+++ b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md
@@ -55,19 +55,7 @@ JupyterHub contain R kernel. It can be started either in the notebook or in the
 
 ## RStudio
 
-[RStudio](<https://rstudio.com/) is an integrated development environment (IDE) for R. It includes
-a console, syntax-highlighting editor that supports direct code execution, as well as tools for
-plotting, history, debugging and workspace management. RStudio is also available on Taurus.
-
-The easiest option is to run RStudio in JupyterHub directly in the browser. It can be started
-similarly to a new kernel from [JupyterLab](../access/jupyterhub.md#jupyterlab) launcher.
-
-![RStudio launcher in JupyterHub](misc/data_analytics_with_r_RStudio_launcher.png)
-{: align="center"}
-
-Please keep in mind that it is currently not recommended to use the interactive x11 job with the
-desktop version of RStudio, as described, for example, in introduction HPC-DA slides.
-
+For using R with RStudio please refer to [Data Analytics with RStudio](data_analytics_with_rstudio.md).
 ## Install Packages in R
 
 By default, user-installed packages are saved in the users home in a subfolder depending on
diff --git a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..2a73cfde079b83c529fbe76c33a32ec4dcac87a5 100644
--- a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md
+++ b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md
@@ -0,0 +1,18 @@
+# Data Analytics with RStudio 
+
+[RStudio](<https://rstudio.com/) is an integrated development environment (IDE) for R. It includes
+a console, syntax-highlighting editor that supports direct code execution, as well as tools for
+plotting, history, debugging and workspace management. RStudio is also available on ZIH systems.
+
+The easiest option is to run RStudio in JupyterHub directly in the browser. It can be started
+similarly to a new kernel from [JupyterLab](../access/jupyterhub.md#jupyterlab) launcher.
+
+![RStudio launcher in JupyterHub](misc/data_analytics_with_rstudio_launcher.jpg)
+{: style="width:90%" }
+
+???tip
+    If an error "could not start rstudio in time" occurs, try reloading the webpage with F5. 
+
+???note 
+    Please note that it is currently not recommended to use an interactive x11 job with the
+    desktop version of RStudio, as described, for example, in introduction to HPC-DA slides.
diff --git a/doc.zih.tu-dresden.de/docs/software/misc/data_analytics_with_r_RStudio_launcher.png b/doc.zih.tu-dresden.de/docs/software/misc/data_analytics_with_r_RStudio_launcher.png
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