Statistics with R – Intermediate Level

Statistics with R – Intermediate Level

Statistical analyses using the R program

What you’ll learn

  • run parametric and non-parametric correlation (Pearson, Spearman, Kendall)
  • perform partial correlation
  • run the chi-square test for association
  • run the independent sample t test
  • run the paired sample t test
  • execute the one-way analysis of variance
  • perform the two-way and three-way analysis of variance
  • run the one-way multivariate analysis of variance
  • run non-parametric tests for mean difference (Mann-Whitney, Kruskal-Wallis, Wilcoxon)
  • execute the multiple linear regression
  • compute the Cronbach’s alpha
  • compute other reliability indicators (Cohen’s kappa, Kendall’s W)

Requirements

  • R and R studio
  • knowledge of statistics

Who this course is for:

  • students
  • PhD candidates
  • academic researchers
  • business researchers
  • University teachers
  • anyone looking for a job in the statistical analysis field
  • anyone who is passionate about quantitative analysis
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