Statistics and Programming
R packages are extensions to the R programming language. R packages contain code, data, and documentation in a standardized collection format that can be installed by users of R, typically via a centralized software repository such as CRAN (the Comprehensive R Archive Network). In this article, we will have a look at R package system, …
In R, a list is an ordered collection of objects, like vector, but lists can actually combine objects of different types. List elements can contain any type of object that exists in R.
The factor data type is used to represent character data. This character data, however takes a small number of distinct values. Each distinct value is represented by a integer code, which is called as level of the factor variable.
A data frame represents a data with a number of rows and columns. Unlike matrix, data frames can contain variables with different data types, therefor Data Frames are heterogeneous.
In R, matrix is a vector with two additional attributes, the number of rows and the number of columns. Since vectors are the building blocks of matrices, like vectors, matrices are also constrained to single data type.
The first step in learning R programming is getting familiar with basic R objects and their structure. The fundamental data object in R is a vector. In this article we will define the R objects, create different types of vector objects and understand some of its properties. What is R Object? When R is running, …
Unraveling R data types – The Vectors – A gentle introduction Read More »
This is the second post in the “Getting Started with R Programming” series. In the previous post, we discussed the processes for getting the R programme from the CRAN website. We also constructed simple R code, created a scatter plot, and stored the code in .R source file.The R programme features a very simple graphical …
Getting started with R – Part 2: RStudio installation guide Read More »
In this blog we will install R (for Windows and Mac OS) and have a quick tour of R environment.
R, as a programming language, has been evolving and developing over the last 20 years. Its goal is quite clear to make it easy and flexible to perform comprehensive statistical computing, data exploration, and visualization. In this blog, we will look at some of the advantages of R, its inheritance from S language and its limitations.