Offbeat 发表于 2025-3-25 04:58:20
Summary Graphics for Frequency Data In this chapter, you will learn how to process frequency data and represent your findings graphically.DEAF 发表于 2025-3-25 11:28:21
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Association and ProductivityThis chapter covers association measures and productivity measures with respect to lexico-grammatical patterns.CAJ 发表于 2025-3-25 17:53:27
http://reply.papertrans.cn/24/2388/238727/238727_24.pngLobotomy 发表于 2025-3-25 21:44:36
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 发表于 2025-3-26 01:57:40
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.倔强不能 发表于 2025-3-26 05:56:46
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性行为放纵者 发表于 2025-3-26 10:50:34
http://reply.papertrans.cn/24/2388/238727/238727_28.pngLigneous 发表于 2025-3-26 16:14:44
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戏服 发表于 2025-3-26 18:16:53
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