Mastering R for Quantitative Finance
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Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Any command-line input or output is written as follows:

#generate the two time series of length 1000
set.seed(20140623) #fix the random seed
N <- 1000 #define length of simulation
x <- cumsum(rnorm(N)) #simulate a normal random walk
gamma <- 0.7 #set an initial parameter value
y <- gamma * x + rnorm(N) #simulate the cointegrating series
plot(x, type='l') #plot the two series
lines(y,col="red")

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Another useful visualization exercise is to look at the Density on log-scale."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.