Tasks Add the README.md file with relevant information for your own R-package, including package goals, installation instructions and examples. Construct an R package that include: the data (or its subsample if too big) from past assessment, your Shiny app (from Assessment 1 or otherwise), a function to launch the Shiny app, and other functions with at least one that return numerical values with unit tests. Add a vignette explaining or informing some aspect of your package. Build a package website that contains the package documentation. Tips Get started early and seek help early by going to consultation hours. Commit regularly to your GitHub repo. Check the marking criteria below to get an idea of what is expected. When assessment marks are released, you should consider making your repo public and add the link to it in your CV. Ideas for functions: A function with a single argument that returns a data frame. If the input is a numerical vector of at least 5 values then it returns a data frame with two columns where the second column corresponds to the five number summary values and the first column is the names of the values (i.e. minimum, Q1, median, Q3, maximum). If the input is a character or factor vector then it returns a data frame with the first column as values and the second column as frequencies. What should it return if it is a numerical vector of less than 5 values? A function with two arguments where if the two inputs are numerical vectors of the same size, it return the correlation coefficient, if one is numerical and the other is character or factor vector, it returns the mean for each level, if both inputs are character/factor vectors, then it returns are cross tabulation as a data frame, What should it return if the vectors are not the same size?

Attachments:

ETC5523--R-Pa....html

game-goals.csv

season-goals.csv

about.Rmd

app.R