Breast Cancer Quantitative Features Exploration App

For STAT545B assignment B-3, I have chosen option B and implemented my own shiny app. This shiny App contains breast cancer quantitative features found in the cancer_sample dataset in the package datateachr. The goal of this shiny app is to provide an interactive resource to explore the relations between different quantitative features by allowing users to select the interested features and visualize. Users can also look at the entire dataset and filter columns based on the results from their exploration.

As part of assignment B-3 (found in the directory 0.1.0), I have implemented the following features:

1. Users can select the x and y variables to explore the relationship between the two variables. Boxplots of both variables are provided below the scatter plot to examine the variables individually.
2. Users can colour the scatterplot based on a third variable.
3. Users can select the columns of the table to view using a checkbox system.

The 0.1.0 shiny app is currently deployed on shinyapps.io.

As part of assignment B-4, I have decided to upgrade the shiny app created in assignment B-3 (found in the directory 0.2.2). Version 0.2.2 contains the following feautres:

1. The table that is generated will have the intitial columns selected by the three variables: x, y and colour. Users can then add more columns to the list.
2. The table will also be automatically regenerated with the three columns selected based on the three variables (x, y, and colour) whenever the user changes any of them.
3. Sliders to filter both x and y values are now available. By adjusting the slider, the user can filter the results for values that he/she is interested in. Furthermore, the slider range is re-adjusted everytime the x or y variables are changed. The scatterplot, both box plots, and the table will reflect these range selections.
4. The table is now implemented using the DT package. This allows the user to view the table in pages of different number of columns. The tables can also be sorted using the columns.
5. A selection of formats is availble for the user to download the table in based on the columns selected and filter using the x and y variable range sliders.

The 0.2.2 shiny app is currently deployed on shinyapps.io. NOTE: there is a small delay to ensure all variables are properly set up before rendering plots and tables.

How to run the shiny app locally?

I have listed 2 ways to run the code in this repository. Please ensure that you have R, RStudio, and the packages used in this codebase installed before running

Dependencies

• R
• shiny
• datateachr
• tidyverse
• DT

You can install the datateachr package by typing the following into your R terminal:

install.packages("devtools")
devtools::install_github("UBC-MDS/datateachr")

Cloning the repo:

1. Press the green "Code"" button and then click the copy button

2. Open Rstudio and create a new project by going to "File" and then click "New Project"

3. Press Version Control then Git. Then paste the link into the url box.

4. Run runApp()

Using shiny utility:

1. run shiny::runGitHub("stat545ubc-2022/assignment-b3-jowong4")