Data Analysis Using APL2 and APL2STAT
Datos Bibliográficos
| ID | 2331745 |
|---|---|
| Autores | John Fox (0000-0002-1196-8012, York University), Michael Friendly (0000-0002-3237-0941, York University) |
| Año | 1995 |
| Volumen | 23 |
| Número | 3 |
| Páginas | 282-302 |
| Fecha de publicación | 1995-02-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sociological Methods & Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124195023003002 |
| OpenAlex | W1978122516 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 5 |
As has often been recognized, several characteristics of APL make it especially well suited for programming statistical applications: APL treats arrays-vectors, matrices, and higher dimensional arrays-as data structures that can be processed without reference to their elements; it contains many powerful primitive functions and operators for manipulating data; and it is an extensible language, so that user-written programs are employed in the same manner as the primitives. APL2 incorporates several significant extensions of the language, the most important of which are generalized arrays-arrays whose elements may themselves be arrays. Using generalized arrays along with other features of APL2, the authors build an object-oriented programming environment for statistics and data analysis called APL2STAT
Data mining · Data structure · Extensibility · Object (grammar) · Object-oriented programming · Programming language · Artificial Intelligence · Computer Science · Simulation Techniques and Applications · Theoretical Computer Science
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 0,04 |
| Intervalo de citas | 2000 - 2000 (1) |
| Velocidad de citación | historical |
| Altamente citado | No |