#Rproject hashtag - Bluesky

@tscourses.bsky.social

10 months ago

We will learn to model correlated continuous trait evolution, apply multivariate GLS methods, and interpret results in R through hands-on sessions with simulated or real datasets.

#dataanalysis #Rstats #Rproject #evolutionarybiology #evolution

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Jumping Rivers

@jumpingrivers.com

1 year ago

Data-To-Wow: Leveraging Shiny as a no-code solution for high-end parameterised visualisations You've created a prototype visualisation, fine-tuned it so it looks amazing and perfectly on-brand, and turned the plot code into a function so that you can run it again on different data and highlight different aspects of the story. Others on the team have seen how good the outputs look and they want in on the magic! But they don't want to learn R. This talk will offer a behind-the-scenes look at the process of creating a Shiny App that functions as a black box to get straight from the data to high-end parameterised visualisations. We'll start by looking at creating parameterised plot functions using ggplot, before exploring how to bring the data and parameterisation into Shiny to create a seamless no-code data-to-viz workflow for the users.

Over the next few weeks we'll be sharing videos from Shiny in Production 2024.

We start today with Cara Thompson's fantastic keynote: "Data-To-Wow: Leveraging Shiny as a no-code solution for high-end parameterised visualisations".

youtu.be/8mLFQUwnU5g

#Shiny #RStats #RProject #DataVisualisation

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Jumping Rivers

@jumpingrivers.com

1 year ago

Porting a Shiny App to Observable Framework: Part 2 Description goes here.

Part 2 of "Porting a Shiny App to Observable" is now up on our blog. If you missed part 1 we looked at the basics of how to construct an Observable app. In Part 2 we look at adding your own styles and at how to quickly deploy the app.

#RStats #RProject #Shiny #Observable

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Jumping Rivers

@jumpingrivers.com

1 year ago

Porting a Shiny App to Observable Framework: Part 1 Here, I port a Shiny app - written in R - into JavaScript code and present it in an Observable Framework application.

In our latest blog post we investigate the process of recreating an interactive visualisation - originally built with Shiny for R - with a newer reactive toolset: Observable Framework and Observable Plot.

#RProject #RStats #Shiny #JavaScript #Observable #DataViz

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Jumping Rivers

@jumpingrivers.com

1 year ago

Diffify & Posit Package Manager The latest version of Posit Package Manager allows us to add metadata to package pages. This means we can now directly link R and Python packages to diffify.com!

The latest version of Posit PBC Package Manager allows you to add metadata to package pages. This means we can now directly link R and Python packages to diffify! Read more in our latest blog post!

#RProject #RStats #Python

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Stefano Ghignone

@steoware.bsky.social

1 year ago

Achieving higher standards in species distribution modeling by leveraging the diversity of available software The increasing online availability of biodiversity data and advances in ecological modeling have led to a proliferation of open-source modeling tools. In particular, R packages for species distributi....

#species #distribution
#modeling #diversity #software #R #RProject

Achieving higher standards in species distribution modeling by leveraging the diversity of available software

doi.org/10.1111/ecog...

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Sole De Esteban

@soledeesteban.bsky.social

1 year ago

Do you want to improve your knowledge about #Rproject #ecology #GeometricMorphometrics or any other topic covered by @tscourses.bsky.social but do not have funding?
Take a look at the scholarships offered by Transmitting Science 👇

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