Obama approval

[This article was first published on Learning 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.

Working some more with time series data. Here we have a graph of Obama job approval numbers, with two LOWESS-fit lines added for trending:

Figure1. President Obama job approval, Jan 2009 – present.

There’s actually some pretty fancy stuff going on there, as the following code shows.

polls <- read.table("/data/polls.txt", header=TRUE, sep = "\t") attach (polls) lfit1 <- lowess(app~daten, f=0.25)
lfit2 <- lowess(app~daten, f=0.75) plot (app~daten, ylim=c(40,80), xlim=c(-3,210),
pch=16, col=”gray”,

cex.lab=1.25,cex.axis=0.75,
col.lab = “#777777”,
xlab=””,ylab=”Obama job approval (%)”, xaxt=”n”, yaxt=”n”)
axis(1,at=c(-3,28,56,87,117,148,178,209),
lab=c(“Jan 09″,”Feb 09″,”Mar 09″,”Apr 09″,”May 09″,”Jun 09″,”Jul 09”, “Aug 09”),

col.lab=”#777777″, col.axis=”#777777″, tck=-0.02, cex.axis=0.75)
axis(2, at=c(40,50,60,70,80),
col.axis=”#777777″,
las=2, tck=-0.02,
cex.axis=0.75)
lines(lfit1, col=”red”, lwd=3)
lines(lfit2, col=”blue”, lwd=3)

To leave a comment for the author, please follow the link and comment on their blog: Learning 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)