statistics
Statistical methods, analysis, and modeling techniques
Learn how to properly standardize polynomial terms in GLMMs for comparable estimates. Includes R code examples and best practices.
Discover what percentage of professionals work in their studied field, common reasons for career changes, and typical transition timelines after graduation.
Learn how to resolve ggplot2 and ggfortify deprecation warnings for residual plots in R. Updated syntax for aes_string(), fortify(), and size aesthetics.
Learn to calculate z-score for measuring a number's deviation from a small set like [27,43,17,5] with x=22. Is -0.07 significant or negligible? JS code review, interpretation thresholds, small sample challenges, and z vs t-test.
Learn how to plot two normal probability density functions on a single graph in R using lines(), par(new = TRUE), or ggplot2 for a clean overlay and add legends.