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I have a set of modeled climate data recorded at irregular intervals. The format of the data is such that there are monthly measurements for the years 2000, 2020, 2050, 2080, etc. Therefore I have 12 regular records, a skip of some number of years, then 12 more monthly records, another skip, and so on.... I created a dataframe from .txt with the read.table() command. For starters I need

Thank you ahead of time for help with this. I have two matrices X [,1] [,2] [,3] [,4] [,5] [,6] [1,] 660 693.00 726.0 759.00 792.0 825.00 [2,] 548 575.40 602.8 630.20 657.6 685.00 [3,] 676 709.80 743.6 777.40 811.2 845.00 [4,] 763 801.15 839.3 877.45 915.6 953.75 [5,] 768 806.40 844.8 883.20 921.6 960.00 [6,] 692 726.60 761.2 795.80 830.4 865.00 [7,] 657 689.85 722.7

Matt, I know you are probably busy with work, but I cannot help buy asking you these R questions. If it is bothersome, please let me know and I will stick with the R help... but I have two matrices X [,1] [,2] [,3] [,4] [,5] [,6] [1,] 660 693.00 726.0 759.00 792.0 825.00 [2,] 548 575.40 602.8 630.20 657.6 685.00 [3,] 676 709.80 743.6 777.40 811.2 845.00 [4,] 763 801.15 839.3