R Programming

In this guide, we will discuss R v/s Python. R Academics and statisticians have developed R for the past two decades. R now has one of the richest ecosystems for…

The Chi-Square Test is used to analyze the frequency table (i.e., contingency table), which is formed by two categorical variables. The chi-square test evaluates whether there is a significant relationship between the…

In this guide, we will discuss T-Test in R. In statistics, the T-test is one of the most common tests which is used to determine whether the mean of the…

In this guide, we will discuss R-Random Forest. The Random Forest is also known as Decision Tree Forest. It is one of the popular decision tree-based ensemble models. The accuracy of these…

In this guide, we will discuss R-Time Series Analysis. Any metric which is measured over regular time intervals creates a time series. Analysis of time series is commercially important due…

In this guide, we will discuss R Classification. The idea of the classification algorithm is very simple. We predict the target class by analyzing the training dataset. We use training…

The binomial distribution is also known as a discrete probability distribution, which is used to find the probability of success of an event. The event has only two possible outcomes in…

In this guide, we will discuss R Normal Distribution. In random collections of data from independent sources, it is commonly seen that the distribution of data is normal. It means…

In this guide, we will discuss R Poisson Regression. The Poisson regression model is used for modeling events where the outcomes are counts. Count data is discrete data with non-negative integer values…

In this guide, we will discuss R-Logistic Regression. In the logistic regression, a regression curve, y = f (x), is fitted. In the regression curve equation, y is a categorical…