Latest Post

6 Apr, 2021


Follow our Facebook page or our developer’s Twitter for more tutorials and future updates All analyses in StatsNotebook are conducted in R. Descriptive statistics Linear regression (with missing data) Moderation/ Interaction Analysis Causal mediation analysis Multiple imputation for missing data Robust regression Residual plots and assumption checking for linear regression Linear mixed model (Multilevel model) Inverse probability treatment weight for longitudinal study (with missing data) Age-Period-Cohort analysis Propensity score matching For more R related content, see R Bloggers. Read more

All Posts

  • Reshaping data - 27 Oct, 2020
  • Compute variables - 16 Oct, 2020
  • Variable types in R and StatsNotebook - 20 Sep, 2020
  • Set reference for categorical variables - 20 Sep, 2020
  • Load Example Data - 20 Sep, 2020