
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, runs ANOVA analyses in both R and SAS, and aligns outputs to highlight similarities and differences. This approach provided a transparent reference for comparing statistical results across platforms, supporting governance and decision-making. By standardizing documentation and outputs, Dimple enabled more reliable cross-team collaboration and validation workflows. Her work demonstrated depth in statistical analysis, R programming, and SAS programming, addressing the need for reproducible, cross-software analytical parity.

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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