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When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
# Packages ----------------------------------------------------------------
library(ggplot2)
murders_separate <- read.csv(file="murders_separate.csv")
You can also embed plots, for example:
ggplot(murders_separate, aes(x=year, y=murders, group=city)) +
geom_line() +
scale_x_continuous(breaks=c(2014,2015))
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.
ggplot(murders_separate, aes(x=year, y=murders, group=city, color=city)) +
geom_line()+
scale_x_continuous(breaks=c(2014,2015))
ggplot(subset(murders_separate, murders > 150), aes(x=year, y=murders, group=city, color=city)) +geom_line()+
scale_x_continuous(breaks=c(2014,2015))
ggplot(subset(murders_separate, murders > 200), aes(x=year, y=murders, group=city, color=city)) +geom_line()+
facet_grid(city ~ .)+
scale_x_continuous(breaks=c(2014,2015))
ggplot(subset(murders_separate, murders > 200), aes(x=year, y=murders, group=city, color=city)) +
geom_line()+
facet_wrap(~ city)+
labs(title = "Murder change between 2014 and 2015")+
scale_x_continuous(breaks=c(2014,2015))+
theme(axis.ticks = element_blank(), axis.text.x = element_blank(), legend.position = "none")