In this exercise you will learn to visualize the pairwise relationships between a set of quantitative variables. To this end, you will make your own note of 8.5 Mosaic plots from Data Visualization with R.

Mosaic charts can display the relationship between categorical variables using:

The Titanic data set came from https://osf.io/aupb4/.

In the graph below,

Q1 Are more passengers survived?

Less passengers survived than died, and more males died than females

Q2 Describe the largest group that didn’t survive. Discuss by class and gender.

The largest group that didn’t survive was males in 3rd class

Q3 Describe the largest group that did survive. Discuss by class and gender.

The largest group that survived were first class females.

Q4 Describe one group that has more cases than expected given independence (by chance). Discuss by class and gender.

A large group of males in third class who are more likely to survive but died

Q5 Describe one group that has less cases than expected given independence (by chance). Discuss by class and gender.

More males shouldn’t have survived in the third class but survived

Q6 Create a mosaic plot for Arthritis in the same way as above.

Hint: The Arthritis data set is from the vcd package. Add an additional argument gp = shading_max in the mosaic function. This is because the residuals are too small to have color.

Q7 Repeat Q1-Q5.

Q1: More people felt no improvement rather than improvement Q2: The largest group that improved was those who recieved treatment and were marked Q3: The largest group of patients to feel no improvement were those that recieved the placebo Q4: More people who got the treatment and were marked felt no improvement Q5: One group that has less marked improvement than expected was those that recieved the placebo

Q8 Hide the messages, the code and its results on the webpage.

Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.

Q9 Display the title and your name correctly at the top of the webpage.

Q10 Use the correct slug.