官网下载:https://cran.r-project.org/
图形界面Rstudio: https://www.rstudio.com/
维基百科:https://en.wikipedia.org/wiki/R_(programming_language)(programming_language)
R Journal:https://journal.r-project.org/
R Manuals:https://cran.r-project.org/manuals.html
R Packages: https://cran.r-project.org/web/packages/index.html
Microsoft R Application Network: https://mran.microsoft.com/
R for excel
https://www.rforexcelusers.com/
Quick-R
R bloggers
Data Science Made simple
http://www.datasciencemadesimple.com/learn-r-what-is-r/
Database using R
Data Camp
Try R
Journal of Statistical Software
https://www.jstatsoft.org/index
Wickham, H., & Grolemund, G. (2017). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Sebastopol, CA: O’Reilly Media.
The easiest place to start when turning an exploratory graphic into an expository graphic is with good labels. You add labels with the labs()
function. This example adds a plot title:
ggplot(mpg, aes(displ, hwy)) +
geom_point(aes(color = class)) +
geom_smooth(se = FALSE) +
labs(title = "Fuel efficiency generally decreases with engine size")
Histogram and density plots
The histogram and density plots are used to display the distribution of data.
# Histogram plot
# Change histogram fill color by group (sex)
qplot(weight, data = wdata, geom = "histogram",
fill = sex)
# Density plot
# Change density plot line color by group (sex)
# change line type
qplot(weight, data = wdata, geom = "density",
color = sex, linetype = sex)