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Browsing Category

# R Programming

## 11 Reasons Why You Should Learn R Programming

If you can't use the tools, you can't analyze the data ABOUT R R programming is a statistical programming language developed by scientists that have open source libraries for statistics, machine learning, and data science. R lends itself…

## stringR package in R for Handling Strings

‘stringr’ is a very handy package in R, used to handle string data and manipulate it according to the form that we require for our models. Suppose we want to count the length of the individual states Mainly four kinds of string…

## Naive Bayes Classifier and Its Application Using R

Naive Bayes or Naive Bayes Classifier has its foundation pillar from the concept of Bayes theorem explained by the theory of probability. Probability is the chance of an event occurring. Probability can be related to our regular life and it…

## dplyr package in R With Implementation

What Is "dplyr"? dplyr package, widely used in R, is basically a grammar of data manipulation. It is written and maintained by Hadley Wickham. Why "dplyr"? The package helps in transformation and summarization of data frames (i.e., data…

## Introduction to 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().…

## Types of Data[Compatibility Mode]

Hi guys, we all know that statistics play a key role in Analytics. But most of the people who are not from the statistical background are scared of “Statistics”. So, here I am going to describe different statistical concepts along with very…

## How to do factor Analysis using R?

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

## Decomposing Time Series ARIMA Data using R

In the previous article Time Series Analysis in R, we learn how to read and plot time series data. In this article of this series, we will get to know that how to break the data into trend and irregular component. 4). Decomposing the time…

## How to do Time Series Analysis

Part-1 Hi all, Hope you are familiar with the time series function or you may have heard of time series analysis. In R there is a different R (more…)

## Statistical Modelling Functions

Hi guys lets begin the third part of statistical modelling functions Sigmoid(s-shaped) function Biexponential model function Sigmoid(s-shaped) function: The simplest s-shaped function is (more…)