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Posts tagged “R”

EH590R: R-based quantitative data analysis for environmental health research

This course offers in-person and online training on data access, processing and modeling techniques commonly used in environmental health research. The goal is to prepare first year MPH students for conducting quantitative data analysis in the summer and during their second year. Topics include household/ambient air quality, environmental epidemiology, climate change, metabolomics, and epigenomics. Basic knowledge in each subject area will be provided via reading materials and pre-recorded lectures. Instructors will lead a discussion to the typical datasets in their actual research projects in an hour lecture, then work with the students on these datasets during a two-hour computer lab session. After this course, the students will be able to (1) perform data extraction and preprocessing, (2) conduct common data analysis, and (3) generate preliminary results. All coding will be taught in R. Standard class computer codes will be archived on Github.

WHO Homes Model

who_homes.png Access WHO HOMES Model. The WHO HOMES model is an online implementation of a single compartment boxmodel appropriate for estimating PM or CO concentrations resulting from the combustion of solid fuels in homes. It contains a number of easy to manipulate parameters, like air changes per hour, cooking time, etc, that are used to recreate distributions from which Monte Carlo analyses can be performed. It can estimate exposures using a number of methods.

Some more graphs of Beijing's Air Pollution

A bunch of folks across the internet have been doing some great stuff with the air quality data coming out of China via official channels and the US Embassy twitter feeds. My advisor asked for some graphs of available data. They are posted below (all were created in R using ggplot2). If time ever permits, I’ll post some interactive visualizations.