Distribution in R

There are two types of distribution in R as follow: Normal Distribution Binomial Distribution Normal Distribution in R The random collection of data from independent sources is known as normal distribution in R. Now we know that we will get a bell shape curve if we plot a graph with the value of the variable … Read more

R Visualization

Visually appealing data visualizations can be created by writing few lines of code. We use the diverse functions of R visualization as an efficient technique for gaining insight into data through a visual medium. A human can easily get information about hidden patterns in data that might be neglected. We can work with a large … Read more

XML File in R

XML is also a markup language that stands for extensible markup language like HTML. Which contains markups tags. You read the XML file in R by installing the XML package. This package can be installed using the following command. Creating XML file Create an XML file by copying the below data into a text editor … Read more

Data Reshaping in R

The data reshaping in R is the name of changing the data organized in rows and columns. Data processing is done by taking the input as a data frame. It is the easiest method to extract data from the rows and columns of the data frame, but here is a problem when you want a … Read more

CSV file in R

CSV stands for Comma Separated Values file, which is a plain text file that contains a list of data. CSV file in R is used for exchanging the data between different applications. Like contact managers and databases mostly support CSV files. Getting and Setting the Working Directory The getwd() function is used to check which … Read more

Excel File in R

The excel file extension that stores data in the .xls or xlsx format. There are several packages to perform the operations on an excel file in R programming. These packages are XLConnect, xlsx, gdata etc. Install xlsx Package You can use the following command in the R console to install the “xlsx” package. Verify and … Read more

Poisson Regression in R

For modeling events, the Poisson Regression in R is used where the outcomes are counts. The count data is discrete data with non-negative integer values that count things, such as the number of people in line at the grocery store.  The basic mathematical equation for Poisson regression in R is as follow: Here: y is the … Read more

JSON File in R

JSON file in R is stored as an R list. JSON stands for JavaScript Object Notation. The JSON file is consists of the data as text in a human-readable format. Install rjson Package You can install the R JSON package with the following command in the R console. Input Data Create a JSON file by … Read more

Multiple Linear Regression in R

Multiple Linear Regression in R is an extension of linear regression in the relationship between two or more variables. In linear regression, we have one input and done output, but in multiple linear regression in R, we have more than one predictor and one outcome. The mathematical equation for multiple regression is as follow: Here: … Read more

Linear Regression in R

Linear Regression in R predicts the output of the y variable based on one or more input x variables. In simple words, it is used to establish a relationship between output and input variables. The input and output variables are related through an equation in which the exponent of both these variables is 1. A … Read more