Resource Library
Cheat Sheets & Reference Material
Essential References
The Lab OS Philosophy
Don’t memorize code. Understand the logic, and keep the syntax handy.
1. The R Meta-Analysis Cheat Sheet
| Task | Package | Function | Syntax |
|---|---|---|---|
| Compute Effect Size | MAd / compute.es |
compute_dgs() |
compute_dgs(n1, m1, sd1, n2, m2, sd2, data=df) |
| Meta-Analysis (Fixed) | metafor |
rma() |
rma(yi, vi, method="FE") |
| Meta-Analysis (Random) | metafor |
rma() |
rma(yi, vi, method="REML") |
| Meta-Regression | MAd |
mareg() |
mareg(es ~ moderator, var=var, method="REML") |
| Aggregate Dependents | MAd |
agg() |
agg(id=id, es=es, var=var, cor=.5) |
| Publication Bias | metafor |
funnel() |
funnel(model_object) |
2. Package Documentation
The MAd Package
- Full Manual (CRAN): Read PDF
- Citation: Del Re, A. C., & Hoyt, W. T. (2014). MAd: Meta-Analysis with Mean Differences.
The compute.es Package
- Full Manual (CRAN): Read PDF
- Citation: Del Re, A. C. (2013). compute.es: Compute Effect Sizes.
3. Recommended Reading
- Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to Meta-Analysis. John Wiley & Sons.
- Schmidt, F. L. (1992). What do data really mean? Research findings, meta-analysis, and cumulative knowledge in psychology. American Psychologist, 47(10), 1173.