R/RStudio Quick Start Guide

Welcome to R and RStudio!

R is an open source programming language and software environment for statistical computing and graphics.
The R language is widely used among statisticians for developing statistical software and data analysis.

RStudio is a free and open source integrated development environment for R.

Combining the two provides one of the most powerful statistical data anaylsis tools available with an easy to
use interface. I hope you find this Quick Start Guide useful and an interest in R.

Installation

1. Download and Install R.
   
2. Download and Install RStudio.
   

Help Command Example

• Get help on the Get Working Directory command:
  

   
  

  Code

  help(getwd)

Import Your Data

1. Export or save your data from your application in csv format, a comma separated values text file file format.
   
2. Import and prepare your data:
   

 

Code

wd <- getwd() setwd("C:/Users/Firstname/Desktop") mydata <- read.csv("datafile.csv") attach(mydata)

Informational Commands

•  
  

  Code

  names(mydata) [1] "Instrument" [2] "Performance" [3] "Parameters" [4] "From" [5] "To" [6] "Total.Net.Profit" . .

•  
  

  Code

  summary(mydata) . . Total.Net.Profit Gross.Profit Gross.Loss Min. :-1525.00 Min. : 0.0 Min. :-1525.0 1st Qu.: -72.50 1st Qu.: 0.0 1st Qu.: -115.6 Median : 0.00 Median : 0.0 Median : 0.0 Mean : 64.77 Mean : 168.6 Mean : -103.9 3rd Qu.: 97.50 3rd Qu.: 130.6 3rd Qu.: 0.0 Max. : 3075.00 Max. :3075.0 Max. : 0.0 . .

Graphic Commands (See Attachments Below)

• hist(Total.Net.Profit, breaks=100)
  
• plot(From, Total.Net.Profit)
  

Calculation Commands

• ...