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R for Data Science

You're reading from   R for Data Science Learn and explore the fundamentals of data science with R

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781784390860
Length 364 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Toc

Table of Contents (14) Chapters Close

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.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "We can include other contexts through the use of the kmeans directive."

A block of code is set as follows:

kmeans(x, 
centers, 
iter.max = 10,
nstart = 1,
algorithm = c("Hartigan-Wong",
                        "Lloyd",
                        "Forgy",
                        "MacQueen"),
trace=FALSE)

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

seqdist(seqdata, method, refseq=NULL, norm=FALSE,
  indel=1, sm=NA, with.missing=FALSE, full.matrix=TRUE)

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: "You can see the key concepts: inflation, economic, conditions, employment, and the FOMC."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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