R Plot: Basics: Difference between revisions
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ggplot(data = ss, aes(x = date, y = pop)) + | ggplot(data = ss, aes(x = date, y = pop)) + | ||
geom_line(color = "#FC4E07", size = 2) | geom_line(color = "#FC4E07", size = 2) | ||
# Control line size by the value of a continuous variable: | # Control line size by the value of a continuous variable: | ||
ggplot(data = economics, aes(x = date, y = pop)) + | ggplot(data = economics, aes(x = date, y = pop)) + | ||
geom_line(aes(size = unemploy/pop), color = "#FC4E07") | geom_line(aes(size = unemploy/pop), color = "#FC4E07") | ||
==Referensi== | |||
* http://www.sthda.com/english/articles/32-r-graphics-essentials/128-plot-time-series-data-using-ggplot/ | |||
==Pranala Menarik== | ==Pranala Menarik== | ||
* [[R]] | * [[R]] | ||
Latest revision as of 03:52, 28 November 2019
library(ggplot2) theme_set(theme_minimal()) # Demo dataset head(economics)
# Basic line plot
ggplot(data = economics, aes(x = date, y = pop))+
geom_line(color = "#00AFBB", size = 2)
# Plot a subset of the data
ss <- subset(economics, date > as.Date("2006-1-1"))
ggplot(data = ss, aes(x = date, y = pop)) +
geom_line(color = "#FC4E07", size = 2)
# Control line size by the value of a continuous variable:
ggplot(data = economics, aes(x = date, y = pop)) +
geom_line(aes(size = unemploy/pop), color = "#FC4E07")
