Our group is analyzing the dataset with information regarding COVID-19 cases in Mexico.
The report is been broken into four subproject child reports. Each coder is responsible one of the child reports.
table1/contains all code and output related to creating a descriptive table 1 for the datasettable1/report.Rmdis the child report that makes a descriptive table for our chosen variables of interest
model/contains all code and output related to creating a regression model for the datasetmodel/code/is a folder for scripts associated with making regression model for child reportmodel/code/build_model.Ris a script to run the regression analysis
model/output/is a folder to hold output associated with regression modelmodel/output/logistic_model.Rdsis created bymodel/code/build_model.Rand knit into child report
model/config.ymlis a configuration file where users can turn off/on variables to be included in the regression model for the dataset by setting their values to TRUE (include) or FALSE (exclude)model/report.Rmdis the child report for the regression model
comorbidities/contains all code and output related to creating descriptive figures associated with the comorbidities of interest (Dawa)comorbidities/report.Rmdis the child report that makes figures assoicated with the comorbidities in the datasetcomorbidities/outputis the folder where output plots from the child report are saved
sociodemographic/contains all code and output related to creating descriptive figures for the sociodemographic variables in the dataset (Yuzhou)sociodemographic/code/is a folder for scripts associated with making figures associated with the sociodemographic variables of interest for child reportsociodemographic/code/create_subset.Ris a script that subsets the data to the sociodemographic variables of interest
sociodemographic/report.Rmdis the child report for the sociodemographic figures
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combined_report.Rmdis the parent report that combines each child report subproject into the final report -
render_combined_report.Ris used for rendering the combined report from the command line -
data/contains the COVID-19 datasetdata/covid_sub.csvand a descriptive README about the datasetdata/covid_readme.txt -
Makefileis used to run all necessary scripts in proper order for report building
To build the final report, first use the make install command to ensure all required packages are synchronized for the project.
Next, use the make combined_report.html command to run the Makefile in the main project directory and build the final parent report.
The report can be customized to include/exclude different covariates in our model through the use of the model/config.yml file.
The file lists all covariates included in the model.
The user can set each of these covariates to TRUE to include or FALSE to exclude them in the logistic regression model.