CalgaryR: The Fall season is on
Details
- 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. - 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, AB
Data Analytics
Data Mining
R Project for Statistical Computing
Applied Statistics
Programming in R
Sponsors
Nima Safaian
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Pacific Inst. of Mathematical Sciences
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Cenovus Energy
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Dept. Math & Stats, Univ. of Calgary
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R Consortium
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