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<title>maacs file for second week lectures - Exploratory Data Analysis</title>
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<h1>maacs file for second week lectures - Exploratory Data Analysis</h1>
<h3>John Hopkins School of Public Health through Coursera Platform</h3>
<p>Data were extracted from <a href="https://github.com/jtleek/modules/blob/master/04_ExploratoryAnalysis/PlottingLattice/maacs_env.rds">maacs_env</a> and <a href="https://github.com/jtleek/jhsph753and4/blob/master/lectures/EBDA/problem3.rda">amelia</a></p>
<pre><code class="r"># Change working directory setwd('EDA/Weeks/Week2/Data')
# Read the data
env <- readRDS("maacs_env.rds")
problem3 <- load("problem3.rda")
id <- 1:750
maacs <- data.frame(id, maacs, env)
# Select only the following columns: id, eno, duBedMusM, pm25 and mopos
maacs <- maacs[c("id", "eno", "duBedMusM", "pm25", "mopos")]
# Save maacs data frame
save(maacs, file = "maacs.Rda")
</code></pre>
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