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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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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Dear SAS Community,
When I opened the project, I saw this problem, Maybe who found this problem, could you help me, I can't find a backup file.
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Hi there, I have googled similar questions but could not find answers that I can understand. So here I am asking for your help! What I want to know is how to get results separately in a group. Example (just copied and pasted from Excel) ID Weight Treatment kcal 1 NW A 400 2 NW A 500 3 OW A 560 4 NW A 800 5 OW A 490 6 NW A 500 7 OW A 400 8 OW A 700 9 NW A 900 1 NW B 580 2 NW B 600 3 OW B 800 4 NW B 500 5 OW B 600 6 NW B 800 7 OW B 700 8 OW B 500 9 NW B 780 1 NW C 570 2 NW C 670 3 OW C 570 4 NW C 400 5 OW C 600 6 NW C 800 7 OW C 800 8 OW C 500 9 NW C 800 In this example, I am going to run one-way repeated measures ANOVA to see if there is a treatment effect (A, B, C) on subsequent calorie intake (kcal). However, I want to see the result separately for each body weight status (NW=normal weight & OW=overweight). Please ignore the small sample size because this is just an example. In SPSS, we can "split file" and then get results for both NW and OW separately in any analysis conducted after that. I am an absolute beginner of SAS and have never edited the code. Just importing excel files for each analysis and selecting some commands. Therefore, I'd appreciate if you could explain in a comprehensive way if it involves code! TIA
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macro generated code in the log from using the MPRINT option often appears as one long stream of continuous text. Is there a way to retain the indentation and hard returns from the original program code?
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