Without setting the environment it won’t be possible for you to write or develop R programming based applications. So for this, you need to know how to set up your environment to do R programming. In this chapter you will learn about this.
In this chapter you will learn about the basics of R programming and you will start this basic with the conventional “Hello World” program.
In this chapter you will learn about the concept of data types that R programming uses within its script.
In this chapter you will learn about the concepts of variables, constants and some basic methods of using vectors within a R program.
In this chapter you will learn about the various types of operators that R language allows programmers to use.
In R programming like that with other languages, there are several cases where you might wish for conditionally execute any code. Here 'if' and 'switch' functions of R language can be implemented if you already programmed condition based code in […]
All the variables that we use within a program needs to be stored somewhere. That somewhere can be called as an environment in R language. They are closely related to lists in which they are used to store diverse types […]
R language provides programmers with the facility to put elements of different types into a single container like numbers, strings, vectors etc. This flexibility of containing multiple types of elements is possible is R programming using Lists. In this chapter […]
R programming also provides programmers with the facility to store and use memory locations in the form of one or more dimensions. That concept is possible with the use of arrays. In this chapter you will learn about how to […]
Packages are part of R programming and they are useful in collecting sets of R functions into a single unit. It also contains compiled code and sample data. All of these are kept stored in a directory called the "library" […]
Microsoft Excel is the famous and popular spreadsheet delivered by Microsoft, and is perhaps the world's most popular tool for data analysis. Unfortunately, the format or extension XLS and XLSX - it is having, do not go very nice with […]
In this tutorial you will learn about the new paradigm which R provides to its programmers. Other than function oriented programming, R also supports object oriented programming features line classes, objects, inheritance, overloading etc. The Object Oriented R Most R […]
Any value coded within a pair of single quote (' ') and double quotes (" ") in R programming is termed as a 'string'. On the inside, R stores all the strings within double quotes, even if you use single […]
Dates and times are very frequently used concept in data analysis — not least for time - series study. The terrible fact is that with different numbers of days for each month, leap years, leap seconds along with time zones, […]
This tutorial describes you about the various input / output features that are available and its implementation within R programming. Reading from the Keyboard Now you can use scan(): > z <- scan() 1: 12 5 3: 2 4: Read […]