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Apr 15 9 tweets 2 min read Twitter logo Read on Twitter
1/ shiny is a powerful R package for creating interactive web applications, but did you know that there are other packages that can take your Shiny apps to the next level? In this thread, I'll share some of my favorites! #rstats #datascience #shiny
2/ First up is shinydashboard. This package allows you to create beautiful, interactive dashboards with Shiny. With shinydashboard, you can add custom navigation menus, user authentication, and much more to your Shiny apps.
3/ Another great package to consider is shinythemes. This package provides a collection of Bootstrap themes that you can use to style your Shiny app. You can choose from a variety of themes, including flatly, cosmo, and lumen, to give your app a professional look.
4/ If you're interested in data visualization, you should check out plotly. This package allows you to create interactive plots that can be easily embedded in your Shiny app. With plotly, you can create bar charts, scatter plots, heatmaps, and more.
6/ The shinycssloaders is a small package that can make a big difference in the user experience of your Shiny app. With this package, you can add loading spinners and progress bars to your app, which can help to keep users engaged and informed.
7/ Another great package is shinyWidgets package. This package provides a collection of custom input controls and other widgets that can be used to enhance the user experience of your Shiny app. Examples include dropdown menus, sliders, and color pickers.
8/ The shinyjs package provides a set of functions for adding JavaScript interactions to your Shiny app. This includes hiding/showing elements, disabling/enabling inputs, and triggering JavaScript events.
9/ If you need to add data visualization to your Shiny app, check out the shinydashboardPlus package. This package includes a variety of chart types, including heatmaps, treemaps, and network graphs, as well as custom data tables and download buttons.
10/ Finally, if you want to add user authentication to your Shiny app, you should check out shinyauthr. This package allows you to create secure login pages and restrict access to certain parts of your app to authorized users only.

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Apr 17
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Apr 17
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Apr 17
1/ Bayesian inference is a powerful statistical framework that allows us to estimate the probability distribution of parameters based on data and prior knowledge. And R has a variety of packages for implementing Bayesian analysis! #rstats #datascience #Bayesian
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Apr 16
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Apr 16
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