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4.2 Overview of RDBMSs

Print PDF 4.2 Overview of RDBMSs Traditionally there have been large (and expensive) commercial RDBMSs (Informix; Oracle; Sybase; IBM’s DB/2; Microsoft SQL Server on Windows) and academic and small-system databases (such as MySQL, PostgreSQL, Microso…

4 Relational databases 4.1 Why use a database?

Print PDF 4 Relational databases 4.1 Why use a database? There are limitations on the types of data that R handles well. Since all data being manipulated by R are resident in memory, and several copies of the data can be created during execution of a f…

3.2 Octave

Print PDF 3.2 Octave Octave is a numerical linear algebra system (, and function read.octave in package foreign can read in files in Octave text data format created using the Octave command save -ascii, with support for most of th…

3 Importing from other statistical systems

Print PDF 3 Importing from other statistical systems In this chapter we consider the problem of reading a binary data file written by another statistical system. This is often best avoided, but may be unavoidable if the originating system is not availa…

2.6 Flat contingency tables

Print PDF 2.6 Flat contingency tables 다차원의 수렴된 표를 표현하기 위해서 배열의 형태는 오히려 불편합니다. 범주형 데이터 분석의 경우 그러한 정보는 종종 셀의 수에 따라 factor의 수준 조합을

Доктор Хаус и “ящик с усами”

В этой статье мы продолжим беседу о коробчатых диаграммах, а если конкретнее – то речь пойдет о построении коробчатой диаграммы с помощью R. В качестве исходных данных использованы рейтинги эпизодов 6 сезонов сериала “Доктор Хаус” с…) Прочитать на блоге всю заметку Доктор Хаус и “ящик с усами” (еще 351 слов)

2.5 Re-shaping data

Print PDF 2.5 Re-shaping data 때때로 스프레드시트 형태의 데이터는 목적에 따른 모든 관측치들에 의해 그 각각의 목적에 따른 공변량을 부여하는 단순한 포맷으로 되어 있습니다. R의 모델링 함수