Variance homogeneity is a severe assumption for ANOVA. This inclusive guide includes heteroscedastic ANOVA tests for one-way independent designs in R. Find out how to apply heteroscedastic ANOVA tests in R.

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Box-Cox transformation is commonly used remedy when the normality is not met. This comherensive guide includes estimation techniques and use of Box-Cox transformation in practice. Find out how to apply Box-Cox transformation in R.

Continue readingChanging legend position may be a requirement while reporting a figure. This ultimate tutorial involves the ways of changing the legend place in ggplot2. Find out how to change legend position of a ggplot in R.

Continue readingRounding is importaint to increase the resolution for meaningful analysis and data interpretation. This inclusive tutorial includes six ways of rounding data frame in which character variables exist. Find out how to round data frame containing character variables in R.

Continue readingGMDH-type neural network algorithm is a heuristic self-organizing algorithm to model complex systems. This ultimate guide involves feature selection and classification via GMDH algorithm for a binary response. Find out how to apply GMDH algorithm in R.

Continue readingTwo sample independent tests are the mostly used methods in studies. This comherensive guide includes the tests for two independent samples when the outcome is continuous. Find out how to use these tests in R.

Continue readingLoops are the most powerful tools of the R programming language. This comprehensive guide includes the types of loops in R – for, while, repeat. Find out how to use loops in R.

Continue readingVariance 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.

Continue readingNormality 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.

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