R code analyzing assessing effects of absolute humidity and human encounters on COVID-19 seasonality in the United States.
This repository contains the code to Investigating the effects of absolute humidity and human encounters on transmission of COVID-19 in the United States.
To conduct partitional clustering using dynamic time warping, just run the R script named RunDTWCluster.R
file in R. The seeding used in the Lin et al. (2020) is included in the R script.
To conduct the regression Analysis in main article and supplement, run the RunGLMAnalysis.R
script.
To generate the corerelation matrix in the supplement, execute the RunCorrelationAnalysis.R
script.
To generate the figures, run RunDataVisualization.R
script.