# R tutorials

## Random Forest in R

Random Forest is a strong ensemble learning method that may be used to solve a wide range of prediction problems, including classification and regression. Because the method is based on an ensemble of decision trees, it offers all of the…

## Paired sample t-test using R

The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure used to determine whether the mean difference between two sets of observations is zero. In a paired sample t-test, each subject or entity is measured twice, resulting…

## One-Way ANOVA using R

The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups. This guide will provide a brief introduction to the one-way ANOVA, including the…

## Two-Way ANOVA using R

A two-way ANOVA test is a statistical test used to determine the effect of two nominal predictor variables on a continuous outcome variable. A two-way ANOVA tests the effect of two independent variables on a dependent variable. This blog post contains…

## Cluster analysis using R

Cluster analysis is a statistical technique that groups similar observations into clusters based on their characteristics. It is a statistical method of processing data. A good cluster analysis produces high-quality clusters with high inter-class correlation. This blogpost contains the following…

## Principal Component Analysis (PCA) using R

PCA means Principal Component Analysis. PCA is a multivariate technique that is used to reduce the dimension of a data set. More precisely, PCA is concerned with explaining the variance-covariance structure through a few linear combinations of the original variables.…

## Independent Component Analysis (ICA) using R

ICA means Independent Component Analysis. ICA is the most powerful and widely used statistical technique which is used to separate independent sources from their mixture. It is also known as blind source separation technique. The Situation where we use ICA…

## Data analysis in R | How to import data into R – Statistical Aid

Import data into R software is a easy process by which we can impots spss data set, stata data set, sas data set, excel, csv and other data set easily. R is a statistical analytics tool which free to use…

## Canonical Correlation Analysis (CCA) using R

Canonical correlation analysis (CCA) determines a set of canonical variates, orthogonal linear combinations of the variables within each set that best explain the variability both within and between sets. It is used to identify and measure the associations among two sets of…