I have a time series of more than 2500 points. I also have observed data set but it is not continuous. I want to use the observed data set and find out the modeled data from the time series data. After the modeled data has been found out for the same time I want to plot the correlation plot and display the equation and coefficient of correlation on the plot.
The sample time series can be found on the following link https://www.dropbox.com/s/uxg0g1h7vbhxp3z/33010G10.csv The observed data is as follows: 260.323 25.170 267.316 25.520 274.313 24.950 281.333 25.140 288.326 24.130 295.319 19.540 302.330 10.280 309.323 17.340 317.326 18.300 323.323 11.280 329.355 12.450 337.333 9.050 351.323 14.620 364.389 16.350 372.368 19.400 379.382 10.980 393.382 14.260 414.377 11.640 421.382 10.660 428.378 3.950 435.382 18.950 442.378 18.180 449.378 20.570 456.368 18.400 463.375 11.770 470.382 18.130 477.372 18.370 484.368 21.310 491.375 24.200 498.378 24.070 505.382 18.600 512.389 24.670 526.392 28.310 533.406 28.310 540.399 28.700 547.375 28.400 554.389 27.050 Please let me know how can I efficiently arrange the dataset so that I could repeat this for several other locations. Thank you so much. Best Regards, J Dev [[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.
