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

Offbeat

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

DEAF

指耕作

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

CAJ

Lobotomy

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.

Aspiration

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.

倔強不能

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

性行為放縱者

Ligneous

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

戲服

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