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 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
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
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 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 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 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
As per statistics, the T-test in R is used to determine whether the mean of the two groups is equal to each other. The assumption for the test is that both groups are sampled from a normal distribution with equal fluctuation. There are two hypotheses used: Null hypothesis: It is assumed that the two means … Read more
The data is stored in a normalized format in the R database system. To carry statistical computing we need complex and advanced SQL queries. But in R programming we can connect very easily to many relational databases like Mysql, Sql server, Oracle, etc. It becomes a normal dataset when available in R programming and can … Read more
Data is displayed in the format of the table in the R data frame. There are different data types inside the R data frames. The character can be the first column, second and third can be numeric or logical. However, each column must have the same type of data. Following are some R data frame … Read more
