To accomplish this you need to have some widespread variable in each dataset that uniquely identifies Every single business. Then you would use PROC SORT to form the observations in Each individual of your respective two SAS datasets by this "id" variable.
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Just about every in the classification variables, trial, panic, and ID variables is defined in The category statement. The line that follows defines the design which requests primary consequences for stress and demo and also the conversation result in between these variables. The following line defines the classification variable, demo as a repeated evaluate variable in the Recurring demo statement. ID is outlined given that the variable that signifies which rows of knowledge are associated with someone matter because of the /Subject matter = ID statement. The last assertion on that line, Sort = UN, is a necessary assertion that signifies the sort of covariance matrix Employed in the product. The road that reads, LSMEANS stress and anxiety*demo /PDIFF, is the line that is certainly utilized to request the contrasts among amounts of the variables during the interaction. Next that line, there are two further LSMEANS statements which are made use of to obtain easy major effects assessments.
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The BASE key word defines the info set that SAS will use as being a basis for comparison. The key word Look at defines the dataset which SAS will compare with the base dataset.
You can very first ought to validate your account for UTS (to run SAS on uts.cc.utexas.edu). This can be performed by going to the EID safeguarded account upkeep website page and clicking on an Increase Service button.
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The PROC MIXED line specifies the SAS information set useful for the analysis; the data possibility requests additional printed specifics of home the Investigation.
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The algorithm Utilized in the SAS method is exhaustively tested and analyzed in advance of the release within a managed atmosphere.
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