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**Note:** Your choice to use part or all to fit your topic
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*Italic words are note for you.\
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Your choice to use part or all to fit your topic.*
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## R package versions
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R 4.3.1\
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mmrm 0.2.2
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**Note:**If there is only one available package this can be deleted. Otherwise please make a short list, paragraph or table. If there is a reason to use one package vs another please include it. Please make sure to include what version of the packages you are using
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*If there is only one available package this can be deleted. Otherwise please make a short list, paragraph or table. If there is a reason to use one package vs another please include it. Please make sure to include what version of the packages you are using*
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## Data used
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@@ -30,35 +31,35 @@ exData <- tibble::tribble(
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"val2", 2)
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```
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**Note:**a sentence or two about the data. Consider using a package like {skimr} to help illustrate the data.
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*a sentence or two about the data. Consider using a package like {skimr} to help illustrate the data.*
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## Example Code using {package name}
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## Example Code using <packagename>
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**Note:**Describe more details about the method.\
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*Describe more details about the method.\
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If needed, add link to other web page/paper/SAS help methodology page, and list them in reference section.\
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Print key results as needed.\
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Add explanations about code and results as needed.
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Add explanations about code and results as needed.*
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## Example Code using {another package name}
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## Example Code using <anotherpackagename>
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**Note:**Add if there is more than one package
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*Add if there is more than one package*
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## Comparison
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**Note:**If you are comparing more than one package or between different languages, consider adding in a table to illustrate some of the differences. When comparing between languages it can be nice to have a table with links to the pages with deeper dive of each language for a given method method like this table from the ANCOVA page:
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*If you are comparing more than one package or between different languages, consider adding in a table to illustrate some of the differences. When comparing between languages it can be nice to have a table with links to the pages with deeper dive of each language for a given method method like this table from the ANCOVA page:*
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| Analysis | Supported in R | Supported in SAS | Results Match | Notes |
| ANCOVA using general linear model and lsmeans |[Yes](../R/ancova.html)|[Yes](../SAS/ancova.html)|[Yes](#comp)|`GLM()` function from **sasLM** with `EMEANS=TRUE` is the easiest to use and matches SAS |
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**Note:**But, even if you are just comparing the difference in same language it can be helpful to have a table with values of interest across different packages. Using dynamic content you can add the values to a table without manually putting in each value.\
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SAS result is very reliable in many cases.
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*But, even if you are just comparing the difference in same language it can be helpful to have a table with values of interest across different packages. Using dynamic content you can add the values to a table without manually putting in each value.\
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SAS result is very reliable in many cases.*
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## Conclusion
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**Note:**add a conclusion about which language(s) or package(s) are more recommended.\
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This section could have a feature like paper abstract, e.g. about the selection of package or SAS PROC.
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*add a conclusion about which language(s) or package(s) are more recommended.\
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This section could have a feature like paper abstract, e.g. about the selection of package or SAS PROC.*
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## Reference
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**Note:**Cite all sources and references used in the analysis.
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*Cite all sources and references used in the analysis.*
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