Using ggplot2

[This article was first published on CoolStatsBlog » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

American Household Income: the Mean is much higher than the Median

Made on ggplot

I have a standard code for ggplot2 which I use to make line graphs, scatter plots, and histograms.

For lines or scatters:

p<- ggplot(x, aes(x=Year, y=Rank, colour=Uni, group=Uni)) #colour lines by variable Uni #group Uni labelled variables in the same line

Then: 

p + #you get an error if not for this step
geom_line(size=1.2) +
geom_point(data=QS[QS[,2]==”2013″,]) +
geom_text(data=QS[QS[,2]==”2013″&QS[,1]!=”Princeton”,],aes(label=paste(paste(Rank,”.”,sep=””),Uni)),hjust=-0.2)+
ylim(17,0.5) +
scale_x_continuous(limit=c(2004,2014),breaks=seq(2004,2014,1)) +
theme(legend.position=”none”) +
ggtitle(“QS University Rankings 2008-2013″) +
theme(plot.title=element_text(size=rel(1.5))) +
theme_bw() +
theme(panel.grid.major=element_blank(), panel.grid.minor=element_blank()) +
geom_text(aes(label=country),size=6,vjust=-1) +
annotate(“text”,x=2011,y=16.5,label=”Abbas Keshvani”)

For a bar chart:

ggplot(Dist, aes(x=B,y=C,fill=A)) +  #stacked bars, column A contains stacks
geom_bar(stat=”identity”, width=0.9) +

Abbas Keshvani

To leave a comment for the author, please follow the link and comment on their blog: CoolStatsBlog » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)