Statistical cluster analysis is a Exploratory Data Analysis Technique which groups heterogeneous objects (M.D.) into

50 R Language Tips Things I Wish I Knew When I Started Out With R Here are 50 R tips that we hope will be useful through your journey in R. Hope some of these are new to you and will enhance your R skills. If you wish to keep …

Decision Tree Introduction A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. Decision trees are commonly …

CART (Classification and Regression Trees) An Introduction and Motivation for choosing CART: Two of the very basic ideas behind any algorithm used for predictive analysis are : – prediction on the basis of regression and prediction on the basis of classification. However, both are equally important concepts of data science. …

Market Basket Analysis in R: From Sellers to Intelligent Sellers The Main Idea: The term ‘E-commerce’ is well known to all of us. Well, it means trade and business through the means of internet, popularly known as ‘online shopping’. Nowadays, retailers who traditionally used to sell their products strictly in …

In previous article we discussed about qplot() which is analogy of plot(). Here in this tutorial we will cover ggplot2(). Basic component of ggplot2:

What is ggplot2 ? It is a package in R. An implementation of the grammar of graphics. It is a ‘third’ graphics system for R(along with base and lattice), build based upon the grid system. Available from CRAN via install.package().

Definition: Cox regression (or proportional hazards regression) is a method for investigating

Factor analysis aim to provide usable numerical values for quantities such as intelligence or social status that are not directly measurable.

Forecast meaning predicting future with the help of provided data material. Forecasting in R can be done with Simple exponential smoothing method and using forecast