Thorough R Analysis Audit (Fluent English Speaker)
Budget: $30 – $250 USD
I have completed a study built around three descriptive research questions and now need a fresh set of expert eyes on everything—from code to conclusions. The project lives entirely in R (tidyverse, stats, car, and emmeans are the main packages), and the workflow includes multiple-regression models, moderation tests, ANOVA with post-hoc comparisons, effect-size calculations, model comparison, and the usual assumption diagnostics.
What I need from you
• Open my .R and .Rmd files, comb through every line, and flag or correct any syntax error, logical misstep, or inefficiency.
• Run the scripts yourself to ensure all objects load, every model converges, and outputs reproduce exactly.
• Verify the numerical accuracy of coefficients, p-values, confidence intervals, post-hoc tables, and effect sizes.
• Cross-check my narrative write-up—tables, figure captions, and interpretation paragraphs to be sure each statement is fully supported by the numbers.
• Return the annotated script (or a pull request if you prefer), a brief changelog, and tracked comments on the manuscript showing any mismatch between results and prose.
If you are meticulous with data, comfortable dissecting regression, moderation, and ANOVA code, and can articulate feedback clearly, I’m ready to share the repository and get started.
What I need from you
• Open my .R and .Rmd files, comb through every line, and flag or correct any syntax error, logical misstep, or inefficiency.
• Run the scripts yourself to ensure all objects load, every model converges, and outputs reproduce exactly.
• Verify the numerical accuracy of coefficients, p-values, confidence intervals, post-hoc tables, and effect sizes.
• Cross-check my narrative write-up—tables, figure captions, and interpretation paragraphs to be sure each statement is fully supported by the numbers.
• Return the annotated script (or a pull request if you prefer), a brief changelog, and tracked comments on the manuscript showing any mismatch between results and prose.
If you are meticulous with data, comfortable dissecting regression, moderation, and ANOVA code, and can articulate feedback clearly, I’m ready to share the repository and get started.