Class of a variable is important while analyzing the data in R. This ultimate tutorial includes three ways of discovering the class of each column in data frame. Find out how to obtain class of each column in R data frame.
Continue readingSorting data may be a necessity while dealing with a data set. In this tutorial, we will learn how to sort a data frame by a single column and multiple columns in an increasing or decreasing order. Find out how to sort a data frame in R.
Continue readingSometimes we need to remove outliers from data. In this tutorial, we learn how to remove outliers from data including multi-variables, a single variable and data by group in R. Find out how to remove outliers from data in R.
Continue readingIdentifying outliers is essential part while analyzing data since they significantly affect a statistical model. This inclusive tutorial covers four tests for detection of outliers. Find out how to test for identifying outliers in R.
Continue readingCorrelation analysis is the important statistical procedure to investigate the relation among the variables. This ultimate guide covers different correlation coefficients and tests for their significance. Find out how to apply correlation analysis in R.
Continue readingOne-way ANOVA is the statistical procedure to test the equality of k independent population means. This comherensive tutorial includes Box-Cox transformation for non-normal and heteroscedastic data to use one-way ANOVA. Find out how to apply one-way ANOVA for non-normal and heteroscedastic data in R.
Continue readingSometimes, there may exist multimodal data while analyzing data. This ultimate tutorial includes detection of multimodal data. Find out how to determine whether data are unimodal or multimodal in R.
Continue readingVariance 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.
Continue readingBox-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.
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