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
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
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
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
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
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
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
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
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
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
