Book Image

Modern R Programming Cookbook

By : Jaynal Abedin
Book Image

Modern R Programming Cookbook

By: Jaynal Abedin

Overview of this book

R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.
Table of Contents (10 chapters)

Installing a specific version of R library

Open source software is being updated by the maintainers and new features are being added to the existing ones. Sometimes, a task is dependent on a specific version of a library. In this recipe, you will see how to install a specific version of a library and how to check the version of an installed library.

Getting ready

To install a specific version of an R library, there is another facility available. The necessary functions are bound into the versions library to do this job. You need to install versions before using the function within it. To get ready, you have to run the following command:


How to do it…

Take a look at the following steps:

  1. If you want to check which version of ggplot2 has been installed onto your computer, you can run the following command:

The preceding command will show the following output on the console screen:

        > installed.versions("ggplot2")
Checking package in 'C:/rPackages'
(as 'lib' is unspecified)
[1] "2.2.0"
  1. Now, to install the required version of any library, you first need to know the version number and how that has been written in the library documentation. Then, use that version number as follows:
      install.versions("ggplot2", versions = "2.2.0")

How it works…

Whenever you call the installed.versions() function, it looks at the DESCRIPTION file of that library and extracts the version number and displays it on the console.

Alternatively, whenever you call install.versions() to install the specified version of a library, it checks the date of that version and runs the install.dates() function internally to download the appropriate version onto the computer.