Setting up R-Studio

Time to set up our R-Studio to share interactive documents.

• https://shiny.byui.edu in R-Studio

Viewing on the website.

• view with shiny.byui.edu

Example: library(DT) - DataTables

Make a new Rmd file that just has the following in it (including the default yaml).

library(DT)
datatable(iris)

Putting information in your file My interactive

Case Study 8: It’s about time

• The Google spreadsheet link
• Case Study 8
• How did we do?

Case Study 9: Interacting with time

• Case Study 9

Task 17: My investment is better than yours

• Task 17

Try: library(DT) - DataTables

Look at the DT: An R interface to the DataTables library website and find one or two modifications that you could make to your table output to move beyond the default.

• Work as a table and push one file to R-Studio connect.
• Make sure everyone at the table has the code saved on their computers.

library(DT)
datatable(iris)

The development diagram

Improving literacy

• How do we improve literacy?
• Show the graphic narrative example.

Are we using timetk?

Looks like the task doesn’t require it. I wanted you guys to see this package and understand the potential if you need it in the future - Link.

• Fun Forecasting Example

tibles, ts, xts, and zoos oh my!

Use the links on this page to try and describe what ts, xts, and zoo formats are in R?

We are not going to take the time to get into the weeds of xt, xts, zoo. Here are two locations where you can read till your heart is content - 1, and 2.

• What is the difference in zoo, xts, and ts objects?
• Why xts?

Really matrix formats

Q: Why is xts implemented as a matrix rather than a data frame?

xts uses a matrix rather than data.frame because: 1) xts is a subclass of zoo, and that’s how zoo objects are structured; and 2) matrix objects have much better performance than data.frames.

Why xts?

Q: Why should I use xts rather than zoo or another time-series package?

The main benefit of xts is its seamless compatibility with other packages using different time-series classes (timeSeries, zoo, .). In addition, xts allows the user to add custom attributes to any object. See the main xts vignette for more information.

Remember the Goal

“The most exciting phrase to hear in science, the one that heralds new discoveries, is not ‘Eureka!’ but ‘That’s funny…’” -Isaac Asimov

• Remembering Good Principles
• Rauser view on time and data - 10:28 to 17:50

Edward Tufte

Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space

Edward Tufte

dygraphs: R connection to dygraphs JavaScript charting library

Open the dygraphs help website and implement one of their examples in your local R session.