updated documentation

Author: kasiapekala

README.md

@@ -37,7 +37,7 @@ Predictive Models](https://pbiecek.github.io/ema/) e-book.
 
 <center>
 
-![](README_files/triplot_explained.gif)
+![](https://raw.githubusercontent.com/ModelOriented/triplot/master/README_files/triplot_explained.gif)
 
 </center>
 
@@ -257,6 +257,15 @@ contribution to the prediction. This contribution is of a negative type.
 positive influence on the prediction, but it is much smaller. `Embarked`
 feature has very small, negative contribution to the prediction.
 
+## Learn more
+
+  - [triplot package
+    overview](https://modeloriented.github.io/triplot/articles/vignette_aspect_importance.html)
+  - [usecase with FIFA 20 data
+    set](https://modeloriented.github.io/triplot/articles/vignette_aspect_importance_fifa.html)
+  - [description of predict aspects
+    method](https://modeloriented.github.io/triplot/articles/vignette_aspect_importance_indepth.html)
+
 ## Acknowledgments
 
 Work on this package was financially supported by the NCBR Grant

README.rmd

@@ -37,7 +37,7 @@ the [Explanatory Model Analysis. Explore, Explain and Examine Predictive Models]
 
 <center>
 
-![](README_files/triplot_explained.gif)
+![](https://raw.githubusercontent.com/ModelOriented/triplot/master/README_files/triplot_explained.gif)
 
 </center>
 
@@ -178,6 +178,12 @@ plot(ai_titanic)
 
 We can observe that `wealth` (class, fare) variables have the biggest contribution to the prediction. This contribution is of a negative type. `Personal` (age, gender) and `Family` (sibsp, parch) variables have positive influence on the prediction, but it is much smaller. `Embarked` feature has very small, negative contribution to the prediction.  
 
+## Learn more
+
+- [triplot package overview](https://modeloriented.github.io/triplot/articles/vignette_aspect_importance.html)
+- [usecase with FIFA 20 data set](https://modeloriented.github.io/triplot/articles/vignette_aspect_importance_fifa.html)
+- [description of predict aspects method](https://modeloriented.github.io/triplot/articles/vignette_aspect_importance_indepth.html)
+
 ## Acknowledgments
 
 Work on this package was financially supported by the NCBR Grant POIR.01.01.01-00-0328/17.