Introduction to R for social scientists: a tidy programming approach
Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2021
|
| Ausgabe: | First edition |
| Schriftenreihe: | Statistics in the social and behavioral sciences series
|
| Schlagworte: | |
| Zusammenfassung: | Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology.Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners |
| Beschreibung: | ix, 198 Seiten Illustrationen, Diagramme Breite 156 mm, Hoehe 234 mm |
| ISBN: | 9780367460723 9780367460709 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047398188 | ||
| 003 | DE-604 | ||
| 005 | 20211213 | ||
| 007 | t | ||
| 008 | 210802s2021 xxua||| |||| 00||| eng d | ||
| 020 | |a 9780367460723 |c Kartoniert, Paperback : EUR 61,57 |9 978-0-367-46072-3 | ||
| 020 | |a 9780367460709 |c Hardback |9 978-0-367-46070-9 | ||
| 035 | |a (OCoLC)1247061945 | ||
| 035 | |a (DE-599)BVBBV047398188 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US |a xxk |c XA-GB | ||
| 049 | |a DE-706 |a DE-824 |a DE-11 | ||
| 084 | |a ST 650 |0 (DE-625)143687: |2 rvk | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Kennedy, Ryan |e Verfasser |0 (DE-588)1239446195 |4 aut | |
| 245 | 1 | 0 | |a Introduction to R for social scientists |b a tidy programming approach |c by Ryan Kennedy, Philip Waggoner |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2021 | |
| 300 | |a ix, 198 Seiten |b Illustrationen, Diagramme |c Breite 156 mm, Hoehe 234 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Statistics in the social and behavioral sciences series | |
| 520 | |a Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology.Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners | ||
| 650 | 0 | 7 | |a Sozialwissenschaften |0 (DE-588)4055916-6 |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 Sozialwissenschaften |0 (DE-588)4055916-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Waggoner, Philip D. |d ca. 20./21. Jh. |e Verfasser |0 (DE-588)1228365040 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-003-03066-9 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032799348 | ||
Datensatz im Suchindex
| _version_ | 1804182656405995520 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Kennedy, Ryan Waggoner, Philip D. ca. 20./21. Jh |
| author_GND | (DE-588)1239446195 (DE-588)1228365040 |
| author_facet | Kennedy, Ryan Waggoner, Philip D. ca. 20./21. Jh |
| author_role | aut aut |
| author_sort | Kennedy, Ryan |
| author_variant | r k rk p d w pd pdw |
| building | Verbundindex |
| bvnumber | BV047398188 |
| classification_rvk | ST 650 ST 250 |
| ctrlnum | (OCoLC)1247061945 (DE-599)BVBBV047398188 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | First edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02975nam a2200421 c 4500</leader><controlfield tag="001">BV047398188</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211213 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">210802s2021 xxua||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780367460723</subfield><subfield code="c">Kartoniert, Paperback : EUR 61,57</subfield><subfield code="9">978-0-367-46072-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780367460709</subfield><subfield code="c">Hardback</subfield><subfield code="9">978-0-367-46070-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1247061945</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047398188</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="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield><subfield code="a">xxk</subfield><subfield code="c">XA-GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 650</subfield><subfield code="0">(DE-625)143687:</subfield><subfield code="2">rvk</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">Kennedy, Ryan</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1239446195</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to R for social scientists</subfield><subfield code="b">a tidy programming approach</subfield><subfield code="c">by Ryan Kennedy, Philip Waggoner</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">ix, 198 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield><subfield code="c">Breite 156 mm, Hoehe 234 mm</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Statistics in the social and behavioral sciences series</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology.Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Sozialwissenschaften</subfield><subfield code="0">(DE-588)4055916-6</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">Sozialwissenschaften</subfield><subfield code="0">(DE-588)4055916-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Waggoner, Philip D.</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1228365040</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-003-03066-9</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032799348</subfield></datafield></record></collection> |
| id | DE-604.BV047398188 |
| illustrated | Illustrated |
| index_date | 2024-07-03T17:51:35Z |
| indexdate | 2024-07-10T09:11:01Z |
| institution | BVB |
| isbn | 9780367460723 9780367460709 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032799348 |
| oclc_num | 1247061945 |
| open_access_boolean | |
| owner | DE-706 DE-824 DE-11 |
| owner_facet | DE-706 DE-824 DE-11 |
| physical | ix, 198 Seiten Illustrationen, Diagramme Breite 156 mm, Hoehe 234 mm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Statistics in the social and behavioral sciences series |
| spelling | Kennedy, Ryan Verfasser (DE-588)1239446195 aut Introduction to R for social scientists a tidy programming approach by Ryan Kennedy, Philip Waggoner First edition Boca Raton ; London ; New York CRC Press 2021 ix, 198 Seiten Illustrationen, Diagramme Breite 156 mm, Hoehe 234 mm txt rdacontent n rdamedia nc rdacarrier Statistics in the social and behavioral sciences series Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology.Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Sozialwissenschaften (DE-588)4055916-6 s DE-604 Waggoner, Philip D. ca. 20./21. Jh. Verfasser (DE-588)1228365040 aut Erscheint auch als Online-Ausgabe 978-1-003-03066-9 |
| spellingShingle | Kennedy, Ryan Waggoner, Philip D. ca. 20./21. Jh Introduction to R for social scientists a tidy programming approach Sozialwissenschaften (DE-588)4055916-6 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4705956-4 |
| title | Introduction to R for social scientists a tidy programming approach |
| title_auth | Introduction to R for social scientists a tidy programming approach |
| title_exact_search | Introduction to R for social scientists a tidy programming approach |
| title_exact_search_txtP | Introduction to R for social scientists a tidy programming approach |
| title_full | Introduction to R for social scientists a tidy programming approach by Ryan Kennedy, Philip Waggoner |
| title_fullStr | Introduction to R for social scientists a tidy programming approach by Ryan Kennedy, Philip Waggoner |
| title_full_unstemmed | Introduction to R for social scientists a tidy programming approach by Ryan Kennedy, Philip Waggoner |
| title_short | Introduction to R for social scientists |
| title_sort | introduction to r for social scientists a tidy programming approach |
| title_sub | a tidy programming approach |
| topic | Sozialwissenschaften (DE-588)4055916-6 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Sozialwissenschaften R Programm |
| work_keys_str_mv | AT kennedyryan introductiontorforsocialscientistsatidyprogrammingapproach AT waggonerphilipd introductiontorforsocialscientistsatidyprogrammingapproach |