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Learning Quantitative Finance with R

You're reading from   Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Length 284 pages
Edition 1st Edition
Languages
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Authors (2):
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PRASHANT VATS PRASHANT VATS
Author Profile Icon PRASHANT VATS
PRASHANT VATS
Dr. Param Jeet Dr. Param Jeet
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Dr. Param Jeet
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to R 2. Statistical Modeling FREE CHAPTER 3. Econometric and Wavelet Analysis 4. Time Series Modeling 5. Algorithmic Trading 6. Trading Using Machine Learning 7. Risk Management 8. Optimization 9. Derivative Pricing

How to install packages

R packages are a combination of R functions, compiled code, and sample data, and their storage directory is known as a library. By default, when R is installed, a set of packages gets installed and the rest of the packages you have to add when required.

A list of commands is given here to check which packages are present in your system:

>.libPaths()

The preceding command is used for getting or setting the library trees that R knows about. It gives the following result:

"C:/Program Files/R/R-3.3.1/library"

After this, execute the following command and it will list all the available packages:

>library()

There are two ways to install new packages.

Installing directly from CRAN

CRAN stands for Comprehensive R Archive Network. It is a network of FTP web servers throughout the globe for storing identical, up-to-date versions of code and documentation for R.

The following command is used to install the package directly from the CRAN web page. You need to choose the appropriate mirror:

>install.packages("Package")

For example, if you need to install the ggplot2 or forecast package for R, the commands are as follows:

>install.packages("ggplot2")
>install.packages("forecast")

Installing packages manually

Download the required R package manually and save the ZIP version at your designated location (let's say /DATA/RPACKAGES/) on the system.

For example, if we want to install ggplot2, then run the following command to install it and load it to the current R environment. Similarly, other packages can also be installed:

>install.packages("ggplot2", lib="/data/Rpackages/")
>library(ggplot2, lib.loc="/data/Rpackages/")
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