Hi: Try something like this, using dat as the name of your data frame:
xyplot(PM10 ~ Ref | WR, data = dat, type = c('p', 'r')) The plot looks silly with the data snippet you provided, but should hopefully look more sensible with the complete data. The code creates a four panel plot, one per direction, with points and a least squares regression line fit in each panel. The regression line is specific to a data subset, not the entire data frame. HTH, Dennis On Sat, Aug 13, 2011 at 5:43 AM, maggy yan <kiot...@googlemail.com> wrote: > dear R users, > my data looks like this > > PM10 Ref UZ JZ WT RH FT WR > 1 10.973195 4.338874 nein Winter Dienstag ja nein West > 2 6.381684 2.250446 nein Sommer Sonntag nein ja Süd > 3 62.586512 66.304869 ja Sommer Sonntag nein nein Ost > 4 5.590101 8.526152 ja Sommer Donnerstag nein nein Nord > 5 30.925054 16.073091 nein Winter Sonntag nein nein Ost > 6 10.750567 2.285075 nein Winter Mittwoch nein nein Süd > 7 39.118316 17.128691 ja Sommer Sonntag nein nein Ost > 8 9.327564 7.038572 ja Sommer Montag nein nein Nord > 9 52.271744 15.021977 nein Winter Montag nein nein Ost > 10 27.388416 22.449102 ja Sommer Montag nein nein Ost > > . > > . > > . > > . > > til 200 > > > I'm trying to make a linear regression between PM10 and Ref for each of the > four WR, I've tried this: > plot(Nord$PM10 ~ Nord$Ref, main="Nord", xlab="Ref", ylab="PM10") > but it does not work, because "Nord cannot be found" > what was wrong? how can I do it? please help me > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.