FINAL REPORT GENERATION

• fork GitHub repository onto your desired location on your computer
• run make finalproject_tag in the terminal to build Docker image
• run make final_report/sjc_final_2.html in the terminal to run containerized code and generate the report

CODE DESCRIPTIONS

clean data

code/00_clean_data.R

• reads in dataset csv in the data/ folder
• mutates dataset to factorize education and income into levels that show up in order in Table 1
• saves cleaned data as a .rds object in output/ folder

make required table

code/01_make_table1.R

• reads cleaned dataset saved by code/00_clean_data.R
• creates a Table 1 of demographic characteristics of our study population
• saves the Table 1 as a .rds object in output/ folder

make required figure

code/02_make_figure.R

• reads cleaned dataset saved by code/00_clean_data.R
• manipulates the cleaned dataset into a form readable by the Chi-square R function
• runs Chi-square analysis on relationship between disease mitigation behaviors and H1N1 vaccination status
• creates visual representation (correlation plot) of the relationships between residuals from Chi-square test
• saves the correlation plot as a .jpeg object in output/ folder

render report

code/03_render_report.R

• renders sjc_final_2.Rmd R Markdown file

R Markdown file

sjc_final_2.Rmd

• loads and displays Table 1 and correlation plot saved by code/01_make_table1.R and code/02_make_figure.R
• contains descriptions of data set, analysis plan, and description of Table 1 and correlation plot results