Stats and R

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• Stats and R

  A blog on statistics and R aiming at helping academics and professionals working with data to grasp important concepts in statistics and to apply them in R.

• Descriptive statistics in R - Stats and R

  Learn how to perform a descriptive analysis of your data in R, from simple descriptive statistics to more advanced graphics used to describe your data at hand

• ANOVA in R - Stats and R

  Learn how to perform an Analysis Of VAriance (ANOVA) in R to compare 3 groups or more. See also how to interpret the results and perform post-hoc tests

• Descriptive statistics by hand - Stats and R

  Learn how to perform a descriptive analysis of your data by hand. You will learn how to compute both location and dispersion measures to describe your data

• The complete guide to clustering analysis: k-means and hierarchical clustering by hand and in R

  Learn how to perform clustering analysis, namely k-means and hierarchical clustering, by hand and in R. See also how the different clustering algorithms work

• Correlation coefficient and correlation test in R - Stats and R

  Learn how to compute a correlation coefficient (Pearson and Spearman) and perform a correlation test in R