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R Programming By Example

R Programming By Example

By : Trejo Navarro, Omar Trejo Navarro
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R Programming By Example

R Programming By Example

3 (4)
By: Trejo Navarro, Omar Trejo Navarro

Overview of this book

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable.
Table of Contents (12 chapters)
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Saving our initial user data into the system

Before we start using our system, we need to introduce some data into it that will be used to start retrieving data for us. Specifically, we need to create some users, add some wallets to them, and save them. To do so, we create a create-user-data.R file that contains the script that will accomplish this for us. The script loads the S4 and R6 object models (S3 does not need to be loaded explicitly), sources the files with the definitions we directly need, which are Storage, User, and SETTINGS, creates two users for us, and saves them:

library(R6)
library(methods)

source("../storage/storage.R", chdir = TRUE)
source("../users/user.R")
source("../settings.R")

storage = Storage$new(SETTINGS)
user_1 <- user_constructor("[email protected]", storage)

user_1 <- new_wallet(user_1,
&quot...

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