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library(aws.s3) | |
Sys.setenv("AWS_ACCESS_KEY_ID" = "XXXX", | |
"AWS_SECRET_ACCESS_KEY" = "XXXX", | |
"AWS_DEFAULT_REGION" = "us-west-2") | |
s3load('nycyrbs.RData', bucket = 'XXXX') | |
nycyrbs <- subset(nycyrbs, select = c(q33, q34, q35, grade)) | |
nycyrbs[nycyrbs==""]<-NA | |
skimr::skim(nycyrbs) | |
library(Hmisc) | |
library(descr) | |
label(nycyrbs$q34) <-"Vape Usage" | |
label(nycyrbs$q35) <-"Recent Vape Usage" | |
freq(nycyrbs$q34) | |
freq(nycyrbs$q35) | |
label(nycyrbs$q35) <-"Recent Vape Usage" | |
# I have to load dataset first | |
# Use lowercase nycyrbs data set, not capital for consistency | |
label(nycyrbs$grade) <-"Grade Level" | |
freq(nycyrbs$grade) | |
freq(nycyrbs$q33) | |
freq(nycyrbs$q34) | |
ggtitle("Figure #. Distribution of DESCRIBE YOUR VARIABLE")+ | |
labs(y="Percent", x="LABEL FOR YOUR VARIABLE VALUES") | |
ggplot(data = nycyrbs, aes(x = grade)) + geom_histogram(color="blue", fill="white", aes(y=(..count../sum(..count..))*100)) + | |
ggtitle("Figure #. Distribution of DESCRIBE YOUR VARIABLE")+ | |
labs(y="Percent", x="LABEL FOR YOUR VARIABLE VALUES") | |
summary(nycyrbs$grade) | |
sd(nycyrbs$grade, na.rm=T) | |
# save(nycyrbs, file = "nycyrbs.RData") |
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