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CalgaryR: The Fall season is on

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John B. and 2 others
CalgaryR: The Fall season is on

Details

  1. Joint modelling of repeated measurements and time-to-event data.
    Two examples will illustrate an individualized prediction regarding patient prognosis using health state progress over time.
  2. From Math to App.
    We will use R tools to build a simple physical simulation. We will review mathematical modelling, problem decomposition, writing the smallest possible functions, unit testing, writing a driver script, making physical sense of the trends, and then writing a Shiny app and deploying it to the cloud. We will use testthat, here, plotly, shiny, docstring, and dpylr.
    http://padames-shiny.shinyapps.io/spring-dynamics
Events in Calgary, ABData AnalyticsData Mining
R Project for Statistical ComputingApplied StatisticsProgramming in R
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CalgaryR
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CalgaryR
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(Room 440A and D) Taylor Family Digital Library, University of Calgary
410 University Ct NW, Calgary, AB · Calgary, AB
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CalgaryR
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