added Github badge with number of stars to README.md

README.md

@@ -1,6 +1,6 @@
 ## Read me
 
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb)    [![Documentation](https://img.shields.io/badge/docs-online-blue.svg)](https://gnu-octave.github.io/statistics-resampling/)    [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3992392.svg)](https://doi.org/10.5281/zenodo.3992392) 
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb)    [![Documentation](https://img.shields.io/badge/docs-online-blue.svg)](https://gnu-octave.github.io/statistics-resampling/)    [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3992392.svg)](https://doi.org/10.5281/zenodo.3992392)    [![GitHub](https://img.shields.io/github/stars/gnu-octave/statistics-resampling?label=GitHub%20Repo&style=social)](https://github.com/gnu-octave/statistics-resampling/)
 
 ### Package maintainer
 Andrew Penn ([email protected])
@@ -75,7 +75,7 @@ Function help can also be requested directly from the Octave/MATLAB command prom
 
 In Octave only, you can get a basic overview of the package and it's functions by typing: `pkg describe -verbose statistics-resampling`, or request demonstrations of function usage by typing `demo function-name`. Users can also request help with using functions and programming in Octave at the [discourse group](https://octave.discourse.group/c/help/6).  
 
-*TIPS: You can now document and publish your statistics-resampling analysis in Jupyter Notebooks (with an Octave kernel) at your GitHub repository using the [nbgitpuller link generator](https://nbgitpuller.readthedocs.io/en/latest/link.html?tab=binder) and the statistics-resampling-online Binder environment [![](https://img.shields.io/github/forks/acpennlab/statistics-resampling-online?label=GitHub%20Repo&style=social)](https://github.com/acpennlab/statistics-resampling-online/). Alternatively, you could fork the repository or use it as a template for you own GitHub repository. Using Jupyter notebooks, you can also integrate use of the statistics-resampling package into your analysis workflow alongside other programming languages including Python, R and Julia [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb)*  
+*TIPS: You can now document and publish your statistics-resampling analysis in Jupyter Notebooks (with an Octave kernel) at your GitHub repository using the [nbgitpuller link generator](https://nbgitpuller.readthedocs.io/en/latest/link.html?tab=binder) and the statistics-resampling-online Binder environment [![](https://img.shields.io/github/stars/acpennlab/statistics-resampling-online?label=GitHub%20Repo&style=social)](https://github.com/acpennlab/statistics-resampling-online/). Alternatively, you could fork the repository or use it as a template for you own GitHub repository. Using Jupyter notebooks, you can also integrate use of the statistics-resampling package into your analysis workflow alongside other programming languages including Python, R and Julia [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb)*  
 
 ### Quick start