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January 2021 meeting: partially ordered sets and reactivity in Shiny apps

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January 2021 meeting: partially ordered sets and reactivity in Shiny apps

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Hi everyone!

The first session of 2021 will be on January 20th, so join us from 5.30pm online. As usual, the meeting will be open for all to attend, and newcomers / beginners are very welcome.

Our online meetings are kindly being enabled by Red Hat (https://www.redhat.com/). In order to join us you need to register with MeetUp (https://www.meetup.com/EdinbR/).

Our speakers are Alberto Arcagni and Jonathan Sidi.

  • Alberto Arcagni (https://web.uniroma1.it/memotef/users/arcagni-alberto) is assistant professor in statistics at the Sapienza University of Rome. His research topics concern income inequality, wellbeing, networks and partially ordered sets. He developed the R packages sBF, ineqJD and parsec.

  • Jonathan Sidi (https://twitter.com/yoniceedee) Jonathan Sidi started using R close to 15 years ago, while a research student at the Bank of Israel. Currently, he is the Associate Director of Modeling and Simulation in a pharmaceutical company using R every day to model central nervous system diseases. He maintains and contributes to CRAN packages such as `ggedit`, `ggeasy`, `remedy` and `carbonate` and way too many packages on GitHub.

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## parsec: an R package for PARtially ordered sets in Socio-EConomics

### Alberto Arcagni
In his talk he will describe the main tools provided by the R package "parsec" to define partially ordered sets (posets) and their application on the evaluation of multidimensional systems of ordinal indicators with a particular focus on socio-economic analysis.

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## Unit Testing Shiny App Reactivity

### Jonathan Sidi

When developing Shiny apps there is a lot of reactivity problems that can arise when one reactive or observe element triggers other elements. In some cases these can create cascading reactivity (the horror). The goal of `reactor` is to diagnose these reactivity problems and then plan unit tests to avert them during app development, making it a less painful and more robust experience.

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See you there!

/federico

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