For the first part: Create a two-column data frame of which one contains your data (Y) and the other the time index (time). Then do:
plot(Y~time,type="l") ##lower case L if you want a least-squares line, run a linear regression of Y on time and add that line together with lines for the confidence bands using the abline() command. Are you sure you want an LS-line though? ?abline Daniel ------------------------- cuncta stricte discussurus ------------------------- -----Ursprüngliche Nachricht----- Von: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Im Auftrag von Gareth Campbell Gesendet: Tuesday, August 05, 2008 5:48 PM An: R Help Betreff: [R] Time series, least squares line Hello, I have a time-series of standards measured for Refractive index. They are daily standards, however, I didn't run one everyday so some days have no data. I can plot the values, but the x-axis does not represent the correct time series (i.e. it's just an evenly spaced 1,2,3 type axis). I want to plot the points with some form of representitive date line on the x-axis. I don't think the ts() function will work in this instance as I have missing data. Once I have that data, I want to plot a least squares line with 95% confidence interval bands. Can anyone help with this?? Thanks in advance. -- Gareth Campbell PhD Candidate The University of Auckland P +649 815 3670 M +6421 256 3511 E [EMAIL PROTECTED] [EMAIL PROTECTED] [[alternative HTML version deleted]] ______________________________________________ [email protected] 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. ______________________________________________ [email protected] 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.
