Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2002

AUTHORS

Friedrich Leisch

ABSTRACT

Sweave combines typesetting with LATEX and data anlysis with S into integrated statistical documents. When run through R or Splus, all data analysis output (tables, graphs,…) is created on the fly and inserted into a final LATEX document. Options control which parts of the original S code are shown to or hidden from the reader, respectively. Many S users are also LATEX users, hence no new software has to be learned. The report can be automatically updated if data or analysis change, which allows for truly reproducible research. More... »

PAGES

575-580

Book

TITLE

Compstat

ISBN

978-3-7908-1517-7
978-3-642-57489-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-57489-4_89

DOI

http://dx.doi.org/10.1007/978-3-642-57489-4_89

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042406449


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0803", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Computer Software", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "TU Wien", 
          "id": "https://www.grid.ac/institutes/grid.5329.d", 
          "name": [
            "Institut f\u00fcr Statistik und Wahrscheinlichkeitstheorie, Technische Universit\u00e4t Wien, Wiedner Hauptstra\u00dfe 8-10/1071, A-1040, Wien, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Leisch", 
        "givenName": "Friedrich", 
        "id": "sg:person.01303645353.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303645353.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1007098023", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1007098023", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002", 
    "datePublishedReg": "2002-01-01", 
    "description": "Sweave combines typesetting with LATEX and data anlysis with S into integrated statistical documents. When run through R or Splus, all data analysis output (tables, graphs,\u2026) is created on the fly and inserted into a final LATEX document. Options control which parts of the original S code are shown to or hidden from the reader, respectively. Many S users are also LATEX users, hence no new software has to be learned. The report can be automatically updated if data or analysis change, which allows for truly reproducible research.", 
    "editor": [
      {
        "familyName": "H\u00e4rdle", 
        "givenName": "Wolfgang", 
        "type": "Person"
      }, 
      {
        "familyName": "R\u00f6nz", 
        "givenName": "Bernd", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-57489-4_89", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-7908-1517-7", 
        "978-3-642-57489-4"
      ], 
      "name": "Compstat", 
      "type": "Book"
    }, 
    "name": "Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis", 
    "pagination": "575-580", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042406449"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-57489-4_89"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ca00170d1aae47eaf4273044e20fe6cb93f980e2c3db6cc1d8bee9fd1e86114b"
        ]
      }
    ], 
    "publisher": {
      "location": "Heidelberg", 
      "name": "Physica-Verlag HD", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-57489-4_89", 
      "https://app.dimensions.ai/details/publication/pub.1042406449"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000370_0000000370/records_46737_00000002.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-57489-4_89"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-57489-4_89'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-57489-4_89'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-57489-4_89'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-57489-4_89'


 

This table displays all metadata directly associated to this object as RDF triples.

72 TRIPLES      23 PREDICATES      28 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-57489-4_89 schema:about anzsrc-for:08
2 anzsrc-for:0803
3 schema:author N70b36c6a59f747e497d0fdcc3dc237c4
4 schema:citation https://app.dimensions.ai/details/publication/pub.1007098023
5 schema:datePublished 2002
6 schema:datePublishedReg 2002-01-01
7 schema:description Sweave combines typesetting with LATEX and data anlysis with S into integrated statistical documents. When run through R or Splus, all data analysis output (tables, graphs,…) is created on the fly and inserted into a final LATEX document. Options control which parts of the original S code are shown to or hidden from the reader, respectively. Many S users are also LATEX users, hence no new software has to be learned. The report can be automatically updated if data or analysis change, which allows for truly reproducible research.
8 schema:editor N7476c8d99d7e457b93a75a92bed4a9cf
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree true
12 schema:isPartOf N43bd521bdca1470cb266a384893b30ce
13 schema:name Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis
14 schema:pagination 575-580
15 schema:productId N180445d87e3741b487749b1eb37ec59b
16 N594978740d8d4539a67839f60536c431
17 N610a98716dd54da490a8fdb26f5be53f
18 schema:publisher N1deac2a7c05d49dc81e94572059341f9
19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042406449
20 https://doi.org/10.1007/978-3-642-57489-4_89
21 schema:sdDatePublished 2019-04-16T09:02
22 schema:sdLicense https://scigraph.springernature.com/explorer/license/
23 schema:sdPublisher N833de249ba3643f6ac2e56b9a8ddd60a
24 schema:url https://link.springer.com/10.1007%2F978-3-642-57489-4_89
25 sgo:license sg:explorer/license/
26 sgo:sdDataset chapters
27 rdf:type schema:Chapter
28 N180445d87e3741b487749b1eb37ec59b schema:name readcube_id
29 schema:value ca00170d1aae47eaf4273044e20fe6cb93f980e2c3db6cc1d8bee9fd1e86114b
30 rdf:type schema:PropertyValue
31 N1deac2a7c05d49dc81e94572059341f9 schema:location Heidelberg
32 schema:name Physica-Verlag HD
33 rdf:type schema:Organisation
34 N43bd521bdca1470cb266a384893b30ce schema:isbn 978-3-642-57489-4
35 978-3-7908-1517-7
36 schema:name Compstat
37 rdf:type schema:Book
38 N56c86b351ed14a1eae2d9e10a5ef2c85 schema:familyName Rönz
39 schema:givenName Bernd
40 rdf:type schema:Person
41 N594978740d8d4539a67839f60536c431 schema:name dimensions_id
42 schema:value pub.1042406449
43 rdf:type schema:PropertyValue
44 N5b5b9fdf4e8547e4bab7503da2dc1fa4 rdf:first N56c86b351ed14a1eae2d9e10a5ef2c85
45 rdf:rest rdf:nil
46 N5eec2b26b43947dbbe53ecf62b581b59 schema:familyName Härdle
47 schema:givenName Wolfgang
48 rdf:type schema:Person
49 N610a98716dd54da490a8fdb26f5be53f schema:name doi
50 schema:value 10.1007/978-3-642-57489-4_89
51 rdf:type schema:PropertyValue
52 N70b36c6a59f747e497d0fdcc3dc237c4 rdf:first sg:person.01303645353.40
53 rdf:rest rdf:nil
54 N7476c8d99d7e457b93a75a92bed4a9cf rdf:first N5eec2b26b43947dbbe53ecf62b581b59
55 rdf:rest N5b5b9fdf4e8547e4bab7503da2dc1fa4
56 N833de249ba3643f6ac2e56b9a8ddd60a schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
59 schema:name Information and Computing Sciences
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0803 schema:inDefinedTermSet anzsrc-for:
62 schema:name Computer Software
63 rdf:type schema:DefinedTerm
64 sg:person.01303645353.40 schema:affiliation https://www.grid.ac/institutes/grid.5329.d
65 schema:familyName Leisch
66 schema:givenName Friedrich
67 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303645353.40
68 rdf:type schema:Person
69 https://app.dimensions.ai/details/publication/pub.1007098023 schema:CreativeWork
70 https://www.grid.ac/institutes/grid.5329.d schema:alternateName TU Wien
71 schema:name Institut für Statistik und Wahrscheinlichkeitstheorie, Technische Universität Wien, Wiedner Hauptstraße 8-10/1071, A-1040, Wien, Austria
72 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...