Recently in the SAS Community Library: SAS' @Sundaresh1 highlights a sometimes overlooked task when applying document embeddings for purposes of similarity-based search. Normalisation of vectors helps obtain relevant matches.
Please direct me if I am in the wrong location. I will still ask the question here. I have sas 9.4 version TS1M7. I have difficulty scrolling up and down the Enhanced Editor Window. its very lagging, but log window is working with sufficient speed. How to fix this. I tried changing the size of the font and different options in SAS> Tools sections.. How to solve this issue
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I have plotted the residuals against the predicted values for my multiple linear regression model. I'm uncertain whether my model exhibits heteroscedasticity. I conducted a Breusch-Pagan test, but since the MLR 4 assumption was not met, the results might be misleading. Could anyone help determine if there appears to be heteroscedasticity in this plot?
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Hi, Could you please give me some hints on how to generate this kind of density estimate graph? Which statements and options? Thank you so much!
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Hello, I'm analyzing data from a randomized complete block design at multiple sites across multiple years. There are 4 blocks (1-4) at each site, so block is nested within each site (block(site)). I am trying to run this as a simple mixed model and also as a repeated measures. I would just like to know if my coding is correct for both. Any insight would be appreciated. Thanks. A single year analysis to start : proc mixed ; class Site Block Treatment; model biomass = Site|Treatment; random Block(Site); run; Multiple years without repeated statement. Random terms: block nested within site and then block*site*treatment to account for multiple observations across years. proc mixed ; class Year Site Block Treatment; model biomass = Year|Site|Treatment; random Block(Site) Block*Site*Treatment; run; Multiple years with repeated measures, but I'm unsure how to show that block is nested within each site (maybe the interaction accounts for this). proc mixed ; class Year Site Block Treatment; model biomass = Year|Site|Treatment/ddfm=kr; repeated Year / SUB= Site*Block*Treatment type=un ; run;
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