Titlebook: Corpus Linguistics and Statistics with R; Introduction to Quan Guillaume Desagulier Textbook 2017 Springer International Publishing AG 2017

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Summary Graphics for Frequency Data?In this chapter, you will learn how to process frequency data and represent your findings graphically.

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Association and ProductivityThis chapter covers association measures and productivity measures with respect to lexico-grammatical patterns.

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Descriptive Statisticss of dispersion. Measures of central tendency are meant to summarize the profile of a variable. Although widespread, these statistics are often misused. I provide guidelines for using them. Measures of dispersion are complementary: they are meant to assess how good a given measure of central tendency is at summarizing the variable.

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Clustering Methodsnd different objects are grouped in different clusters. I also introduce the concept of a network graph which, although not a clustering technique, is a useful, related addition to your corpus linguistics tool repository.

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Guillaume DesagulierAccessible introduction to quantitative methods for linguistics with emphasis on learning the methods and then applying them with R.Includes downloadable supplementary materials for readers.Suitable f

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R Fundamentalson to teach how to enter simple commands, use ready-made functions, and write user-defined functions. Finally, it introduces basic R objects: the vector, the list, the matrix, and the data frame. Although meant for R beginners, this chapter can be read as a refresher course by those readers who have

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Descriptive Statisticss of dispersion. Measures of central tendency are meant to summarize the profile of a variable. Although widespread, these statistics are often misused. I provide guidelines for using them. Measures of dispersion are complementary: they are meant to assess how good a given measure of central tendenc

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