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README.md

@@ -6,18 +6,18 @@
 
 ## Status
 ![](https://img.shields.io/badge/lifecycle-dormant-blue.svg)
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 ggvis is currently dormant. We fundamentally believe in the ideas that underlie ggvis: reactive programming is the right foundation for interactive visualisation. However, we are not currently working on ggvis because we do not see it as the most pressing issue for the R community as you can only use interactive graphics once you've successfuly tackled the rest of the data analysis process.
 
-We hope to come back to ggvis in the future; in the meantime you might want to try out [plotly](https://plotly.com/ggplot2/getting-started/) or creating inteactive graphics [with shiny](https://blog.rstudio.com/2015/06/16/shiny-0-12-interactive-plots-with-ggplot2/).
+We hope to come back to ggvis in the future; in the meantime you might want to try out [plotly](https://plotly.com/ggplot2/getting-started/) or creating inteactive graphics [with shiny](https://posit.co/blog/shiny-0-12-interactive-plots-with-ggplot2/).
 
 ## Introduction
 
 The goal of ggvis is to make it easy to describe interactive web graphics in
 R. It combines:
 
 * a grammar of graphics from [ggplot2](https://github.com/tidyverse/ggplot2),
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 * reactive programming from [shiny](https://github.com/rstudio/shiny), and
 
 * data transformation pipelines from [dplyr](https://github.com/tidyverse/dplyr).
@@ -27,7 +27,7 @@ ggvis graphics are rendered with [vega](https://github.com/trifacta/vega), so yo
 
 If you find a bug, please file a minimal reproducible example at https://github.com/rstudio/ggvis/issues. If you're not sure if something is a bug, you'd like to discuss new features or have any other questions about ggvis, please join us on the mailing list: https://groups.google.com/group/ggvis.
 
-## Installation 
+## Installation
 
 Install the latest release version from CRAN with: