Learning RStudio for R Statistical Computing:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Pub.
2012
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (248 pages) |
| ISBN: | 9781782160618 1782160612 9781680153569 1680153560 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV045349852 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181210s2012 |||| o||u| ||||||eng d | ||
| 020 | |a 9781782160618 |9 978-1-78216-061-8 | ||
| 020 | |a 1782160612 |9 1-78216-061-2 | ||
| 020 | |a 9781680153569 |9 978-1-68015-356-9 | ||
| 020 | |a 1680153560 |9 1-68015-356-0 | ||
| 035 | |a (ZDB-4-ITC)ocn823719008 | ||
| 035 | |a (OCoLC)823719008 | ||
| 035 | |a (DE-599)BVBBV045349852 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 005.4 | |
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Van der Loo, Mark P. J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Learning RStudio for R Statistical Computing |
| 264 | 1 | |a Birmingham |b Packt Pub. |c 2012 | |
| 300 | |a 1 online resource (248 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Community experience distilled | |
| 500 | |a Print version record | ||
| 505 | 8 | |a A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly | |
| 650 | 7 | |a COMPUTERS / Software Development & Engineering / Systems Analysis & Design |2 bisacsh | |
| 650 | 7 | |a Open source software |2 fast | |
| 650 | 7 | |a Operating systems (Computers) |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 4 | |a R (Computer program language) |a Open source software |a Operating systems (Computers) | |
| 650 | 0 | 7 | |a Datenaufbereitung |0 (DE-588)4148865-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | 1 | |a Datenaufbereitung |0 (DE-588)4148865-9 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a De Jonge, Edwin |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Van der Loo, Mark P.J. |t Learning RStudio for R Statistical Computing |d Birmingham : Packt Publishing, 2012 |z 9781782160601 |
| 912 | |a ZDB-4-ITC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030736506 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804179174076710912 |
|---|---|
| any_adam_object | |
| author | Van der Loo, Mark P. J. |
| author_facet | Van der Loo, Mark P. J. |
| author_role | aut |
| author_sort | Van der Loo, Mark P. J. |
| author_variant | d l m p j v dlmpj dlmpjv |
| building | Verbundindex |
| bvnumber | BV045349852 |
| classification_rvk | ST 250 |
| collection | ZDB-4-ITC |
| contents | A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly |
| ctrlnum | (ZDB-4-ITC)ocn823719008 (OCoLC)823719008 (DE-599)BVBBV045349852 |
| dewey-full | 005.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.4 |
| dewey-search | 005.4 |
| dewey-sort | 15.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02585nmm a2200517zc 4500</leader><controlfield tag="001">BV045349852</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181210s2012 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782160618</subfield><subfield code="9">978-1-78216-061-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1782160612</subfield><subfield code="9">1-78216-061-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781680153569</subfield><subfield code="9">978-1-68015-356-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1680153560</subfield><subfield code="9">1-68015-356-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-ITC)ocn823719008</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)823719008</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045349852</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.4</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Van der Loo, Mark P. J.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learning RStudio for R Statistical Computing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Pub.</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (248 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Print version record</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Software Development & Engineering / Systems Analysis & Design</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Open source software</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Operating systems (Computers)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">R (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield><subfield code="a">Open source software</subfield><subfield code="a">Operating systems (Computers)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenaufbereitung</subfield><subfield code="0">(DE-588)4148865-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenaufbereitung</subfield><subfield code="0">(DE-588)4148865-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">De Jonge, Edwin</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Van der Loo, Mark P.J.</subfield><subfield code="t">Learning RStudio for R Statistical Computing</subfield><subfield code="d">Birmingham : Packt Publishing, 2012</subfield><subfield code="z">9781782160601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-ITC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030736506</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield></record></collection> |
| id | DE-604.BV045349852 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:40Z |
| institution | BVB |
| isbn | 9781782160618 1782160612 9781680153569 1680153560 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030736506 |
| oclc_num | 823719008 |
| open_access_boolean | |
| physical | 1 online resource (248 pages) |
| psigel | ZDB-4-ITC |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Packt Pub. |
| record_format | marc |
| series2 | Community experience distilled |
| spelling | Van der Loo, Mark P. J. Verfasser aut Learning RStudio for R Statistical Computing Birmingham Packt Pub. 2012 1 online resource (248 pages) txt rdacontent c rdamedia cr rdacarrier Community experience distilled Print version record A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh Open source software fast Operating systems (Computers) fast R (Computer program language) fast R (Computer program language) Open source software Operating systems (Computers) Datenaufbereitung (DE-588)4148865-9 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Datenaufbereitung (DE-588)4148865-9 s 1\p DE-604 De Jonge, Edwin Sonstige oth Erscheint auch als Druck-Ausgabe Van der Loo, Mark P.J. Learning RStudio for R Statistical Computing Birmingham : Packt Publishing, 2012 9781782160601 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Van der Loo, Mark P. J. Learning RStudio for R Statistical Computing A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh Open source software fast Operating systems (Computers) fast R (Computer program language) fast R (Computer program language) Open source software Operating systems (Computers) Datenaufbereitung (DE-588)4148865-9 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4148865-9 (DE-588)4705956-4 |
| title | Learning RStudio for R Statistical Computing |
| title_auth | Learning RStudio for R Statistical Computing |
| title_exact_search | Learning RStudio for R Statistical Computing |
| title_full | Learning RStudio for R Statistical Computing |
| title_fullStr | Learning RStudio for R Statistical Computing |
| title_full_unstemmed | Learning RStudio for R Statistical Computing |
| title_short | Learning RStudio for R Statistical Computing |
| title_sort | learning rstudio for r statistical computing |
| topic | COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh Open source software fast Operating systems (Computers) fast R (Computer program language) fast R (Computer program language) Open source software Operating systems (Computers) Datenaufbereitung (DE-588)4148865-9 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | COMPUTERS / Software Development & Engineering / Systems Analysis & Design Open source software Operating systems (Computers) R (Computer program language) R (Computer program language) Open source software Operating systems (Computers) Datenaufbereitung R Programm |
| work_keys_str_mv | AT vanderloomarkpj learningrstudioforrstatisticalcomputing AT dejongeedwin learningrstudioforrstatisticalcomputing |