In class, Dr. Ku teaches us some basic functions about using R, such as "ggplot2".
And let us know some basic data base in R. We first know this app, and play it happly. Although we are trying to follow Dr. Ku's step, but there still some tiny error happens, such as spelling the wrong name of the function names, lost the comma, etc. But through the group mates' help, we can finally output the same answer as Dr. Ku's.
Also, there are some useful websites that can help us study R and shiny app:
Shiny app:
https://shiny.posit.co/r/gallery/widgets/widget-gallery/
👆In this web, you can pasta code from the demo you want.
https://shinyapps.science.psu.edu/
👆This is the shiny book which consist of many shiny apps for studying statistic's knowledge.
R:
👆This is a very detailed R tutorial.
👆This is the encyclopedia of functions in R.
Plus, we learned that how to use ChatGPT to help us generate the R/shiny app code.
Our group homework in this week is to make a Shiny app to demonstrate visually various important probability distributions such as normal distribution, Poisson distribution, t-distribution, binomial distribution. Here are some results: