[R] Time series, least squares line

[Daniel Malter]

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 

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cuncta stricte discussurus
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-----Ursprüngliche Nachricht-----
Von: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] 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 gareth.campbell at esr.cri.nz
gcam032 at gmail.com

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