
Dimple Patel developed a cross-language ANOVA comparison asset for the PSIAIMS/CAMIS repository, focusing on analytical reproducibility and validation between R and SAS environments. She created an R Markdown document that generates data, executes ANOVA in both R and SAS, and aligns outputs to highlight methodological similarities and differences. By integrating code snippets and detailed output comparisons, Dimple established a transparent workflow that supports cross-team governance and decision-making. Her work leveraged R programming, SAS programming, and statistical analysis to provide a reproducible reference for analytical parity, demonstrating depth in both technical implementation and documentation within a collaborative data science context.
In August 2025, the CAMIS project delivered a cross-language ANOVA comparison asset and strengthened reproducibility. A new R Markdown document compares ANOVA implementations and results between R and SAS, including data generation, code snippets for both languages, and a detailed output alignment to highlight similarities and differences. The work was committed to PSIAIMS/CAMIS in the anova-issue branch (466d8be26a7026dd166b38ef7d5675c37de34783). This enhances cross-team validation, governance, and decision-making by providing a transparent, reproducible reference for analytical parity across environments.
In August 2025, the CAMIS project delivered a cross-language ANOVA comparison asset and strengthened reproducibility. A new R Markdown document compares ANOVA implementations and results between R and SAS, including data generation, code snippets for both languages, and a detailed output alignment to highlight similarities and differences. The work was committed to PSIAIMS/CAMIS in the anova-issue branch (466d8be26a7026dd166b38ef7d5675c37de34783). This enhances cross-team validation, governance, and decision-making by providing a transparent, reproducible reference for analytical parity across environments.

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