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
Nonlinear Least Square for used in regression in R. We see that it is a rare case that the equation of the model is a linear equation giving a linear graph when we used regression analysis for real-world data. Because mostly the model equation of real-world involves higher degree mathematical functions like an exponent of … Read more
To analyze the frequency table Chi-Square Test is used. This table is formed by two categorical variables. This test is used to check whether there is a significant relationship between these two variables. The variable may be from the same population or maybe categories like On/Off, Male/Female, etc. The chisq.test() function is used to perform this test … Read more
We can scrap and save web data in R. Every website has its own identity to provide data for the availability of its user in the form of XML, CSV, and txt files. You can filter specific data from that website with the help of R programming. “RCurl” XML” and “String” are packages that are … Read more
