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...A/tbill1.wmf") tsdiag(arima.diff.tbills.100, main="Treasury Bills") #main= does not work, is there a way to name the plot? dev.off() ? Thanks for any help or ideas. ? Andrew Kniss Assistant Research Scientist University of Wyoming Dept. 3354? 1000 E. University Ave. Laramie, WY 82071 (307) 766-3949 akniss at uwyo.edu

...? Or does the power.anova.test fall apart if using an interaction effect? Thank you in advance for any help or references you are willing to point me to. Best regards, Andrew Kniss Assistant Research Scientist University of Wyoming Department of Plant Sciences 1000 E. University Ave. Laramie, WY 82071 USA akniss at uwyo.edu

...umber of rows or spatial locations. Any suggestions would be useful. Also, is there a way to add multiple covariates into the trend.spatial function? Thanks, ************************* Julia L. Angstmann Department of Botany University of Wyoming 1000 E. University Ave. Laramie, WY 82071 [[alternative HTML version deleted]]

...rdized Within-Group Residuals: Min Q1 Med Q3 Max -2.74071048 -0.62051954 -0.05461339 0.70634887 2.70641284 Number of Observations: 308 Number of Groups: 11 > Andrew Kniss University of Wyoming Department 3354 1000 E. University Ave. Laramie WY, 82071 Email: akniss at uwyo.edu Office: (307) 766-3949 Fax: (307) 766-5549

...- ------------------------------------------------------------------------ Scott Parrill | When the legends die, the dreams end. Area Technology & Communications Manager | When the dreams end, there is no more greatness. Wyoming GISciences Center | University of Wyoming | Laramie, WY 82071 | When the Legends Die PH: (307)766-2524 FAX: (307)766-2744 | Hal Borland sparrill@uwyo.edu |

You need to give the model formula that gave your output. There are two sources of variation (at least), within and between locations; though it looks as though your analysis may have tried to account for this (but if so, the terms are not laid out in a way that makes for ready interpretation. The design is such (two locations) that you do not have much of a check that effects are consistent over