Proc mixed sas 9 2
Proc mixed SAS 9-2 is a statistical analysis procedure within the SAS software suite. It is used for fitting linear mixed models, which are useful for analyzing data with correlated observations, such as repeated measurements or hierarchical data structures. Proc mixed provides a flexible framework for modeling and analyzing these types of data.
Lab products found in correlation
3 protocols using proc mixed sas 9 2
Multivariate Neuroimaging Analysis of NAA
Statistical Comparison of Performance Data
Nutrient Changes in Watersheds
with Y representing the variable of interest (Ln TP, Ln TDP, Ln TN, Ln NO 2 þNO 3 eN, Ln NH 4 eN, and Ln organic N); ns i is either the NW or SW; ba j indicates when the measurement was taken, before or after installation of the AGSS, and is represented by b or a, respectively; ev k is the random event and illustrates the storm event that has taken place in both watersheds; and e ijk is the error associated with the above three parameters. The Ln transformations were implemented in order to hold normality assumptions within modeling. Analysis was conducted using Proc Mixed SAS 9.2 (SAS, 2008) with ns and ba as fixed effects and ev as a random effect. Statistical significance was set at P ¼ 0.05. Storm events (ev k ) represent a specific individual storm with a varying probability of intensity and duration that occurred within both watersheds. As a result, this variable was held as a random factor within Equation (1). In addition, stream water samples were taken in the same location before and after installation of the AGSS within both the NW and SW. Thus, the parentheses in Equation (1) represent a nested design in which the ba j factor is nested within the ns i factor.
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