Variance homogeneity is one of the most certain assumptions for parametric hypothesis tests. This inclusive guide covers the tests of variance homogeneity. Find out how to check variance homogeneity in R.

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Normality has an essential role since the most of the statistical methods are based on normal distribution. This ultimate guide includes the ways of checking normality. Find out how to assess normality in R.

Continue readingShapiro-Wilk test is one of the most well-known tests for assessing the normality of data. This comprehensive guide includes the ways of applying Shapiro-Wilk test for univariate and multivariate normality. Find out how to use Shapiro-Wilk test in R.

Continue readingCategorizing numeric variables is very common task in data processing. This inclusive guide covers the ways of categorizing numerical data. Find out how to convert numerical data to categories in R.

Continue readingRecoding character variables is the important part in data manuplation. This comprehensive guide covers all steps of recoding a character variable. Find out how to revalue character data in R.

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